The 10 Most Visionary Women Leaders in AI Creating Global Impact, 2024

1. Issue :08 | 2024 From Automation to Augmentation: Transforming the Future of Work THE Opportunities and Challenges in Implementing AI: Navigating the Path to Success Optimizing AI For Health Enquiry: The 5 Key Ingredients MOST VISIONARY WOMEN LEADERS IN CREATING GLOBAL IMPACT, 2024 Lee Tiedrich www.ciobusinessworld.com Distinguished Faculty Fellow in Law and Responsible Technology and Executive in Residence.

5. Editor in chief Robert Patrick Contents Managing Editor : Smith Collins Design Visualizer : Jack Thomas Arts & Design Director : Adam Jones Associate Designer : Erick Williams Sales Senior Sales Manager : Scott M Marketing Manager : Andrew T Sales Executive : Mark Davis Technical Victor Anderson SME- SMO Research Analyst : Henry Martinez SEO Executive : Daniel Lee Circulation Manager Alexander Nelson Follow us : www.ciobusinessworld.com

6. Editorial Note A Glimpse into AI's Visionary Leaders T he creative landscapes of Artificial Intelligence have risen as a powerful source, shaping the trajectory of the project. Their leadership transcends boundaries, revolutionizing industries, propelling towards a future with innovation and inclusivity. Right from research labs to boardrooms, these women are not just participants, but they are the architects of change, navigating the intersection of technology, ethics, and humanity. It is their impact that goes across all domains, from healthcare to finance and education to environmental sustainability. Because of their groundbreaking research, they are unfolding the mysteries of AI, unlocking the potential to handle most pressing challenges.

7. In the field of acamedics, luminaries like Dr. Fei-Fei Li, has showed her work in computer vision as well as AI ethics and Dr. Yoshua Bengio have inspired countless scientists, mostly women to pursue careers in AI. In the corporate world, leaders like Demis Hassabis, and co-founder DeepMind and Dr. Rumman Chowdhury, are the ones who are leading the ethical AI programs at major tech companies, showing how considerations are integral to AI. Beyond the technical capability, the women leaders shows resilience, realizing the importance of diversity in AI. They have mastered initiatives to empower groups, ensuring that AI shows the richness of the human experience. The way we celebrate the achievements, it is important to realize the challenges that continues to overcome. Above all the gender disparities exists even in the tech industry and biases in AI. Yet these leaders remain firm, harnessing the collective intellect to forge a more sustainable future. Overall, AI transcends mere technology, it is also a force for positive transformation, thus amplifying human potential. Thus they navigate the challenges of the AI- driven world, let us now come together and draw inspiration from these women leaders, whose vision determines the path towards a brighter tomorrow. As we reflect on the contributions of visionary women leaders in AI, let us also commit to amplifying their voices, dismantling barriers, and fostering an environment where talent and innovation know no gender. Together, we can harness the full potential of AI to create a future that is not only technologically advanced but also ethical, equitable, and sustainable. Beyond the corporate sphere, community-driven initiatives play a crucial role in empowering women in AI. Networks, conferences, and mentorship programs tailored to women in the field provide invaluable support, networking opportunities, and resources for skill development and career advancement. The way the corporate sphere, community-driven initiatives play an important role in empowering women in AI. Thus by embracing diverse perspectives as well as experiences, we can unlock AI's potential as a force of positive change, driving innovation, addressing the pressing challenges facing humanity. Overall we can build a future where AI shows the diversity and complexity of the world to serve, empowering all individuals to shape more inclusive society. That is why we bring you forth, The 10 Most Visionary Women Leaders in AI creating Global Impact, 2024. Through this edition we acknowledge and address the challenges and achievements faced by these women in the field of AI.

8. 10 Lee Tiedrich

9. ARTICLE From Automation to Augmentation: Transforming the Future of Work 18 Opportunities and Challenges in Implementing AI: Navigating the Path to Success Optimizing AI For Health Enquiry: The 5 Key Ingredients 26 32 CXO AI: How engaging with schools is key to the future talent pipeline 22 Green House Gas Protocol – Scope 3 Emissions and Technological approaches to measure 28

10. Distinguished Faculty Fellow in Law and Responsible Technology and Executive in Residence. 02 www.ciobusinessworld.com Cover Story Lee Tiedrich and Executive In Residence L more than three decades, she helps governments and other organizations unlock the benefits of technology and manage risks in a rapidly changing and increasingly regulated and litigious environment. Lee shares her insights on responsible AI, data, and emerging technologies building upon her experience advising companies and her innovative international policy work at AI's forefront and her university work. Her messages emphasize the global and multi-disciplinary nature of AI, emphasizing the importance of responsible and inclusive practices. and navigate its risks in our complex, regulated, and ever- changing world, showcasing a lifelong commitment to and deep knowledge and experience with advancing responsible technology practices. ee Tiedrich is at the forefront of high stakes AI and digital transformation.Working at the intersection of technology, law, and policy for Strategies and Solutions in Lee's Expertise Lee explains how several strategies and principles inform her work. She underscores the importance of understanding broadly where responsible technology stands today as well as where it is heading. To support her broad vision, Lee draws upon her decades of multi-disciplinary experience as well as her market understanding and her deep engagements with many diverse global stakeholders. A Journey in Law, AI, and Responsible Tech Leadership In addition to broad vision, Lee emphasizes the importance of focusing on details. This is vital for addressing complexities and crafting solutions that meet the desired objectives and comply with laws. For example, her pioneering work on AI and data governance is informed by both her mastery of the quickly changing broad AI and data landscape as well as her mastery of the many detailed legal, policy and technical issues underpinning it. In the 1980s, Lee embarked on an academic journey at Duke University, emerging as one of the few women in her class majoring in electrical engineering. After graduating with honors from both Duke and the University of Pennsylvania Law School, she devoted three decades to practicing law. The 22nd woman elected to the partnership of the global law firm Covington & Burling LLP, Lee's early career focused on navigating clients through the transformative landscapes of cellular technology, the internet, e-commerce and other emerging technologies, eventually leading to her pioneering work in artificial intelligence (AI) and digital transformation. Law and Responsible Technology Seasoned creatively and judgment are essential to Lee's strategies, too. This helps her develop innovative responsible AI solutions designed to optimize benefits and manage risks. Emphasizing practicality, Lee places a final emphasis on developing concrete solutions that can be implemented and operationalized, recognizing that ideas not translatable to practice can have less utility. In essence, her approach underscores a commitment to a comprehensive understanding, innovative problem- solving, and the tangible application of responsible technology solutions. Following Lee's distinguished law firm career, she transitioned to Duke's faculty, where she became a trailblazer in multi-disciplinary responsible AI, data, and emerging tech education. Her work also continued to include law and policy, serving as an expert for OECD.AI and co-chairing vital committees within the Global Partnership on AI (GPAI), including the GPAI Responsible AI Strategy for the Environment (RAISE) Committee and the GPAI Intellectual Property Advisory Committee. She has presented her work in high profile venues in North America, Europe, and Asia. She also advises government, business and other leaders on how to unlock AI's benefits 10 03 04 www.ciobusinessworld.com Crafting Agile and Enduring Legal Frameworks for AI in a Global Landscape fair and equal opportunity to grow and excel. It's simply wrong to deny opportunities to any person based on race, gender, sexual orientation or some other protected characteristic. Lee explains that developing effective AI legal frameworks presents challenges. On the one hand, the frameworks must endure and increase certainty. On the other hand, the frameworks must be capable of adapting to rapid technological changes. Lee adds that AI legal frameworks should include both binding laws and rules, which tend to be enduring, as well as technical standards, guidance, and other tools, which typically can be adapted more quickly. To enhance effectiveness, the frameworks should both incentive compliance and have appropriate enforcement mechanisms. Advocating Responsible AI Practices for Inclusive Benefit Lee has presented her work and engaged in multi- stakeholder conversations on a global scale, with participation in events in Europe, Asia, the Middle East, and North America. Her experiences underscore one of her fundamental messages – the recognition that AI constitutes a global and multidisciplinary field. These opportunities also provide her with invaluable perspectives on how to unlock AI's benefits and manage the risks for everyone. Nobody should be left behind, including historically under-represented people. Since technology does not stop at borders, Lee emphasizes the importance of fostering international harmonization among countries. Oftentimes, laws vary among countries, and technical standards and other tools can increase harmonization. Multi-lateral efforts and standards bodies have a key role in advancing international harmonization. Many of Lee's presentations focus on responsibly unlocking the benefits and mitigating the risks of AI and data. AI holds tremendous potential to advance social good, including helping address climate change, which is part of Lee's GPAI work, healthcare and helping achieve the UN Sustainable Development Goals. AI can also advance global security and prosperity. However, Lee stresses that all of this must be done in a way that protects individuals and is safe, fair and equitable. Some of Lee's talks focus on strategies for achieving these objectives, both at a policy level and within individual organizations. Driving Success and Ethical Imperative Diversity and inclusion can significantly contribute to an organization's success in many ways. In addition to helping recruit and retain the best talent, diverse teams tend to bring broader perspectives to projects, which often lead to more creative and innovative solutions. When people feel included and valued, they tend to have more loyalty and commitment to the organization, which in turn, can enhance work quality. Recognizing the value of diverse teams, many clients insist on them. Lee also frequently presents on other topics, including AI and climate, AI and intellectual property, AI and privacy, as well as strategies for enhancing responsible AI data and model sharing. These presentations often draw on work her with OECD AI and GPAI. Equally important, organizations should embrace diversity and inclusion because it's the right thing to do. Everyone deserves a 05 06 www.ciobusinessworld.com Helping Boards Manage Technology, Govrnance,, Sustainability, and DEI Guidance on Passion and Persistence Lee advises women science and technology leaders to discover their passion and build their expertise around it. There are myriad AI issues demanding attention. People tend to enjoy their work and succeed more when they focus on topics they care about. People should set goals, but not get discouraged if they don't always achieve them. Persistence pays, and everyone can learn from mistakes. In her legal practice, Lee gained expertise advising corporate and non-profit boards. She also has served on boards. Looking ahead, Lee hopes to be appointed to more boards, and her experience positions her well for these roles. Boards have increasing responsibilities to oversee technology matters. Lee brings tremendous expertise in this area, as well as in governance, sustainability, and diversity. Women also should invest in themselves. This includes pursuing opportunities to enhance their AI knowledge, experience and profile. Networking also is important, including to cultivate mentors and sponsors who can introduce women to exciting opportunities. Networking can also lead to new clients, customers, or other business arrangements. Navigating the Challenges and Opportunities The intersection of AI and global governance presents both challenges and opportunities. At the policy level, countries are actively developing frameworks to unlock AI benefits while managing associated risks. Multilateral organizations like the UN, G7, OECD, GPAI, NATO, among others, are striving to foster greater international regulatory harmonization recognizing the borderless nature of technology. Pioneering Women in Technology Lee draws inspiration from the many women leaders across technology, law, policy, economics, business, social sciences, and other disciplines, already shaping the future of AI and technology. She's equally excited by the large number of talented women students and young professionals who want to make their mark in this field. She foresees talented women across generations helping make the technology industry more inclusive for everyone and enhancing responsible innovation. Another challenge rests in developing standards, guidance, and tools to operationalize the AI laws and policies in practice. Organizations also face challenges implementing new AI laws and policies within their operations, as well as keeping pace with the many technical, legal, business and other changes. Addressing these challenges necessitates multi-disciplinary collaboration and solutions, both globally and within organizations. It's also critical to factor in views of historically under-represented groups to ensure that everyone benefits from AI and is protected against risks. Given AI's fast paced, global and multi-disciplinary nature, opportunities exist for everyone to participate. 07

11. L more than three decades, she helps governments and other organizations unlock the benefits of technology and manage risks in a rapidly changing and increasingly regulated and litigious environment. Lee shares her insights on responsible AI, data, and emerging technologies building upon her experience advising companies and her innovative international policy work at AI's forefront and her university work. Her messages emphasize the global and multi-disciplinary nature of AI, emphasizing the importance of responsible and inclusive practices. and navigate its risks in our complex, regulated, and ever- changing world, showcasing a lifelong commitment to and deep knowledge and experience with advancing responsible technology practices. ee Tiedrich is at the forefront of high stakes AI and digital transformation.Working at the intersection of technology, law, and policy for Strategies and Solutions in Lee's Expertise Lee explains how several strategies and principles inform her work. She underscores the importance of understanding broadly where responsible technology stands today as well as where it is heading. To support her broad vision, Lee draws upon her decades of multi-disciplinary experience as well as her market understanding and her deep engagements with many diverse global stakeholders. A Journey in Law, AI, and Responsible Tech Leadership In addition to broad vision, Lee emphasizes the importance of focusing on details. This is vital for addressing complexities and crafting solutions that meet the desired objectives and comply with laws. For example, her pioneering work on AI and data governance is informed by both her mastery of the quickly changing broad AI and data landscape as well as her mastery of the many detailed legal, policy and technical issues underpinning it. In the 1980s, Lee embarked on an academic journey at Duke University, emerging as one of the few women in her class majoring in electrical engineering. After graduating with honors from both Duke and the University of Pennsylvania Law School, she devoted three decades to practicing law. The 22nd woman elected to the partnership of the global law firm Covington & Burling LLP, Lee's early career focused on navigating clients through the transformative landscapes of cellular technology, the internet, e-commerce and other emerging technologies, eventually leading to her pioneering work in artificial intelligence (AI) and digital transformation. Seasoned creatively and judgment are essential to Lee's strategies, too. This helps her develop innovative responsible AI solutions designed to optimize benefits and manage risks. Emphasizing practicality, Lee places a final emphasis on developing concrete solutions that can be implemented and operationalized, recognizing that ideas not translatable to practice can have less utility. In essence, her approach underscores a commitment to a comprehensive understanding, innovative problem- solving, and the tangible application of responsible technology solutions. Following Lee's distinguished law firm career, she transitioned to Duke's faculty, where she became a trailblazer in multi-disciplinary responsible AI, data, and emerging tech education. Her work also continued to include law and policy, serving as an expert for OECD.AI and co-chairing vital committees within the Global Partnership on AI (GPAI), including the GPAI Responsible AI Strategy for the Environment (RAISE) Committee and the GPAI Intellectual Property Advisory Committee. She has presented her work in high profile venues in North America, Europe, and Asia. She also advises government, business and other leaders on how to unlock AI's benefits Distinguished Faculty Fellow in Law and Responsible Technology and Executive in Residence. 11 www.ciobusinessworld.com 03 04 www.ciobusinessworld.com Crafting Agile and Enduring Legal Frameworks for AI in a Global Landscape fair and equal opportunity to grow and excel. It's simply wrong to deny opportunities to any person based on race, gender, sexual orientation or some other protected characteristic. Lee explains that developing effective AI legal frameworks presents challenges. On the one hand, the frameworks must endure and increase certainty. On the other hand, the frameworks must be capable of adapting to rapid technological changes. Lee adds that AI legal frameworks should include both binding laws and rules, which tend to be enduring, as well as technical standards, guidance, and other tools, which typically can be adapted more quickly. To enhance effectiveness, the frameworks should both incentive compliance and have appropriate enforcement mechanisms. Advocating Responsible AI Practices for Inclusive Benefit Lee has presented her work and engaged in multi- stakeholder conversations on a global scale, with participation in events in Europe, Asia, the Middle East, and North America. Her experiences underscore one of her fundamental messages – the recognition that AI constitutes a global and multidisciplinary field. These opportunities also provide her with invaluable perspectives on how to unlock AI's benefits and manage the risks for everyone. Nobody should be left behind, including historically under-represented people. Since technology does not stop at borders, Lee emphasizes the importance of fostering international harmonization among countries. Oftentimes, laws vary among countries, and technical standards and other tools can increase harmonization. Multi-lateral efforts and standards bodies have a key role in advancing international harmonization. Many of Lee's presentations focus on responsibly unlocking the benefits and mitigating the risks of AI and data. AI holds tremendous potential to advance social good, including helping address climate change, which is part of Lee's GPAI work, healthcare and helping achieve the UN Sustainable Development Goals. AI can also advance global security and prosperity. However, Lee stresses that all of this must be done in a way that protects individuals and is safe, fair and equitable. Some of Lee's talks focus on strategies for achieving these objectives, both at a policy level and within individual organizations. Driving Success and Ethical Imperative Diversity and inclusion can significantly contribute to an organization's success in many ways. In addition to helping recruit and retain the best talent, diverse teams tend to bring broader perspectives to projects, which often lead to more creative and innovative solutions. When people feel included and valued, they tend to have more loyalty and commitment to the organization, which in turn, can enhance work quality. Recognizing the value of diverse teams, many clients insist on them. Lee also frequently presents on other topics, including AI and climate, AI and intellectual property, AI and privacy, as well as strategies for enhancing responsible AI data and model sharing. These presentations often draw on work her with OECD AI and GPAI. Equally important, organizations should embrace diversity and inclusion because it's the right thing to do. Everyone deserves a 05 06 www.ciobusinessworld.com Helping Boards Manage Technology, Govrnance,, Sustainability, and DEI Guidance on Passion and Persistence Lee advises women science and technology leaders to discover their passion and build their expertise around it. There are myriad AI issues demanding attention. People tend to enjoy their work and succeed more when they focus on topics they care about. People should set goals, but not get discouraged if they don't always achieve them. Persistence pays, and everyone can learn from mistakes. In her legal practice, Lee gained expertise advising corporate and non-profit boards. She also has served on boards. Looking ahead, Lee hopes to be appointed to more boards, and her experience positions her well for these roles. Boards have increasing responsibilities to oversee technology matters. Lee brings tremendous expertise in this area, as well as in governance, sustainability, and diversity. Women also should invest in themselves. This includes pursuing opportunities to enhance their AI knowledge, experience and profile. Networking also is important, including to cultivate mentors and sponsors who can introduce women to exciting opportunities. Networking can also lead to new clients, customers, or other business arrangements. Navigating the Challenges and Opportunities The intersection of AI and global governance presents both challenges and opportunities. At the policy level, countries are actively developing frameworks to unlock AI benefits while managing associated risks. Multilateral organizations like the UN, G7, OECD, GPAI, NATO, among others, are striving to foster greater international regulatory harmonization recognizing the borderless nature of technology. Pioneering Women in Technology Lee draws inspiration from the many women leaders across technology, law, policy, economics, business, social sciences, and other disciplines, already shaping the future of AI and technology. She's equally excited by the large number of talented women students and young professionals who want to make their mark in this field. She foresees talented women across generations helping make the technology industry more inclusive for everyone and enhancing responsible innovation. Another challenge rests in developing standards, guidance, and tools to operationalize the AI laws and policies in practice. Organizations also face challenges implementing new AI laws and policies within their operations, as well as keeping pace with the many technical, legal, business and other changes. Addressing these challenges necessitates multi-disciplinary collaboration and solutions, both globally and within organizations. It's also critical to factor in views of historically under-represented groups to ensure that everyone benefits from AI and is protected against risks. Given AI's fast paced, global and multi-disciplinary nature, opportunities exist for everyone to participate. 07

12. L more than three decades, she helps governments and other organizations unlock the benefits of technology and manage risks in a rapidly changing and increasingly regulated and litigious environment. Lee shares her insights on responsible AI, data, and emerging technologies building upon her experience advising companies and her innovative international policy work at AI's forefront and her university work. Her messages emphasize the global and multi-disciplinary nature of AI, emphasizing the importance of responsible and inclusive practices. and navigate its risks in our complex, regulated, and ever- changing world, showcasing a lifelong commitment to and deep knowledge and experience with advancing responsible technology practices. ee Tiedrich is at the forefront of high stakes AI and digital transformation.Working at the intersection of technology, law, and policy for Strategies and Solutions in Lee's Expertise Lee explains how several strategies and principles inform her work. She underscores the importance of understanding broadly where responsible technology stands today as well as where it is heading. To support her broad vision, Lee draws upon her decades of multi-disciplinary experience as well as her market understanding and her deep engagements with many diverse global stakeholders. A Journey in Law, AI, and Responsible Tech Leadership In addition to broad vision, Lee emphasizes the importance of focusing on details. This is vital for addressing complexities and crafting solutions that meet the desired objectives and comply with laws. For example, her pioneering work on AI and data governance is informed by both her mastery of the quickly changing broad AI and data landscape as well as her mastery of the many detailed legal, policy and technical issues underpinning it. In the 1980s, Lee embarked on an academic journey at Duke University, emerging as one of the few women in her class majoring in electrical engineering. After graduating with honors from both Duke and the University of Pennsylvania Law School, she devoted three decades to practicing law. The 22nd woman elected to the partnership of the global law firm Covington & Burling LLP, Lee's early career focused on navigating clients through the transformative landscapes of cellular technology, the internet, e-commerce and other emerging technologies, eventually leading to her pioneering work in artificial intelligence (AI) and digital transformation. Seasoned creatively and judgment are essential to Lee's strategies, too. This helps her develop innovative responsible AI solutions designed to optimize benefits and manage risks. Emphasizing practicality, Lee places a final emphasis on developing concrete solutions that can be implemented and operationalized, recognizing that ideas not translatable to practice can have less utility. In essence, her approach underscores a commitment to a comprehensive understanding, innovative problem- solving, and the tangible application of responsible technology solutions. Following Lee's distinguished law firm career, she transitioned to Duke's faculty, where she became a trailblazer in multi-disciplinary responsible AI, data, and emerging tech education. Her work also continued to include law and policy, serving as an expert for OECD.AI and co-chairing vital committees within the Global Partnership on AI (GPAI), including the GPAI Responsible AI Strategy for the Environment (RAISE) Committee and the GPAI Intellectual Property Advisory Committee. She has presented her work in high profile venues in North America, Europe, and Asia. She also advises government, business and other leaders on how to unlock AI's benefits 12 04 www.ciobusinessworld.com Crafting Agile and Enduring Legal Frameworks for AI in a Global Landscape fair and equal opportunity to grow and excel. It's simply wrong to deny opportunities to any person based on race, gender, sexual orientation or some other protected characteristic. Lee explains that developing effective AI legal frameworks presents challenges. On the one hand, the frameworks must endure and increase certainty. On the other hand, the frameworks must be capable of adapting to rapid technological changes. Lee adds that AI legal frameworks should include both binding laws and rules, which tend to be enduring, as well as technical standards, guidance, and other tools, which typically can be adapted more quickly. To enhance effectiveness, the frameworks should both incentive compliance and have appropriate enforcement mechanisms. Advocating Responsible AI Practices for Inclusive Benefit Lee has presented her work and engaged in multi- stakeholder conversations on a global scale, with participation in events in Europe, Asia, the Middle East, and North America. Her experiences underscore one of her fundamental messages – the recognition that AI constitutes a global and multidisciplinary field. These opportunities also provide her with invaluable perspectives on how to unlock AI's benefits and manage the risks for everyone. Nobody should be left behind, including historically under-represented people. Since technology does not stop at borders, Lee emphasizes the importance of fostering international harmonization among countries. Oftentimes, laws vary among countries, and technical standards and other tools can increase harmonization. Multi-lateral efforts and standards bodies have a key role in advancing international harmonization. Many of Lee's presentations focus on responsibly unlocking the benefits and mitigating the risks of AI and data. AI holds tremendous potential to advance social good, including helping address climate change, which is part of Lee's GPAI work, healthcare and helping achieve the UN Sustainable Development Goals. AI can also advance global security and prosperity. However, Lee stresses that all of this must be done in a way that protects individuals and is safe, fair and equitable. Some of Lee's talks focus on strategies for achieving these objectives, both at a policy level and within individual organizations. Driving Success and Ethical Imperative Diversity and inclusion can significantly contribute to an organization's success in many ways. In addition to helping recruit and retain the best talent, diverse teams tend to bring broader perspectives to projects, which often lead to more creative and innovative solutions. When people feel included and valued, they tend to have more loyalty and commitment to the organization, which in turn, can enhance work quality. Recognizing the value of diverse teams, many clients insist on them. Lee also frequently presents on other topics, including AI and climate, AI and intellectual property, AI and privacy, as well as strategies for enhancing responsible AI data and model sharing. These presentations often draw on work her with OECD AI and GPAI. Equally important, organizations should embrace diversity and inclusion because it's the right thing to do. Everyone deserves a 05 06 www.ciobusinessworld.com Helping Boards Manage Technology, Govrnance,, Sustainability, and DEI Guidance on Passion and Persistence Lee advises women science and technology leaders to discover their passion and build their expertise around it. There are myriad AI issues demanding attention. People tend to enjoy their work and succeed more when they focus on topics they care about. People should set goals, but not get discouraged if they don't always achieve them. Persistence pays, and everyone can learn from mistakes. In her legal practice, Lee gained expertise advising corporate and non-profit boards. She also has served on boards. Looking ahead, Lee hopes to be appointed to more boards, and her experience positions her well for these roles. Boards have increasing responsibilities to oversee technology matters. Lee brings tremendous expertise in this area, as well as in governance, sustainability, and diversity. Women also should invest in themselves. This includes pursuing opportunities to enhance their AI knowledge, experience and profile. Networking also is important, including to cultivate mentors and sponsors who can introduce women to exciting opportunities. Networking can also lead to new clients, customers, or other business arrangements. Navigating the Challenges and Opportunities The intersection of AI and global governance presents both challenges and opportunities. At the policy level, countries are actively developing frameworks to unlock AI benefits while managing associated risks. Multilateral organizations like the UN, G7, OECD, GPAI, NATO, among others, are striving to foster greater international regulatory harmonization recognizing the borderless nature of technology. Pioneering Women in Technology Lee draws inspiration from the many women leaders across technology, law, policy, economics, business, social sciences, and other disciplines, already shaping the future of AI and technology. She's equally excited by the large number of talented women students and young professionals who want to make their mark in this field. She foresees talented women across generations helping make the technology industry more inclusive for everyone and enhancing responsible innovation. Another challenge rests in developing standards, guidance, and tools to operationalize the AI laws and policies in practice. Organizations also face challenges implementing new AI laws and policies within their operations, as well as keeping pace with the many technical, legal, business and other changes. Addressing these challenges necessitates multi-disciplinary collaboration and solutions, both globally and within organizations. It's also critical to factor in views of historically under-represented groups to ensure that everyone benefits from AI and is protected against risks. Given AI's fast paced, global and multi-disciplinary nature, opportunities exist for everyone to participate. 07

13. L more than three decades, she helps governments and other organizations unlock the benefits of technology and manage risks in a rapidly changing and increasingly regulated and litigious environment. Lee shares her insights on responsible AI, data, and emerging technologies building upon her experience advising companies and her innovative international policy work at AI's forefront and her university work. Her messages emphasize the global and multi-disciplinary nature of AI, emphasizing the importance of responsible and inclusive practices. and navigate its risks in our complex, regulated, and ever- changing world, showcasing a lifelong commitment to and deep knowledge and experience with advancing responsible technology practices. ee Tiedrich is at the forefront of high stakes AI and digital transformation.Working at the intersection of technology, law, and policy for Strategies and Solutions in Lee's Expertise Lee explains how several strategies and principles inform her work. She underscores the importance of understanding broadly where responsible technology stands today as well as where it is heading. To support her broad vision, Lee draws upon her decades of multi-disciplinary experience as well as her market understanding and her deep engagements with many diverse global stakeholders. A Journey in Law, AI, and Responsible Tech Leadership In addition to broad vision, Lee emphasizes the importance of focusing on details. This is vital for addressing complexities and crafting solutions that meet the desired objectives and comply with laws. For example, her pioneering work on AI and data governance is informed by both her mastery of the quickly changing broad AI and data landscape as well as her mastery of the many detailed legal, policy and technical issues underpinning it. In the 1980s, Lee embarked on an academic journey at Duke University, emerging as one of the few women in her class majoring in electrical engineering. After graduating with honors from both Duke and the University of Pennsylvania Law School, she devoted three decades to practicing law. The 22nd woman elected to the partnership of the global law firm Covington & Burling LLP, Lee's early career focused on navigating clients through the transformative landscapes of cellular technology, the internet, e-commerce and other emerging technologies, eventually leading to her pioneering work in artificial intelligence (AI) and digital transformation. Seasoned creatively and judgment are essential to Lee's strategies, too. This helps her develop innovative responsible AI solutions designed to optimize benefits and manage risks. Emphasizing practicality, Lee places a final emphasis on developing concrete solutions that can be implemented and operationalized, recognizing that ideas not translatable to practice can have less utility. In essence, her approach underscores a commitment to a comprehensive understanding, innovative problem- solving, and the tangible application of responsible technology solutions. Following Lee's distinguished law firm career, she transitioned to Duke's faculty, where she became a trailblazer in multi-disciplinary responsible AI, data, and emerging tech education. Her work also continued to include law and policy, serving as an expert for OECD.AI and co-chairing vital committees within the Global Partnership on AI (GPAI), including the GPAI Responsible AI Strategy for the Environment (RAISE) Committee and the GPAI Intellectual Property Advisory Committee. She has presented her work in high profile venues in North America, Europe, and Asia. She also advises government, business and other leaders on how to unlock AI's benefits 13 www.ciobusinessworld.com Crafting Agile and Enduring Legal Frameworks for AI in a Global Landscape fair and equal opportunity to grow and excel. It's simply wrong to deny opportunities to any person based on race, gender, sexual orientation or some other protected characteristic. Lee explains that developing effective AI legal frameworks presents challenges. On the one hand, the frameworks must endure and increase certainty. On the other hand, the frameworks must be capable of adapting to rapid technological changes. Lee adds that AI legal frameworks should include both binding laws and rules, which tend to be enduring, as well as technical standards, guidance, and other tools, which typically can be adapted more quickly. To enhance effectiveness, the frameworks should both incentive compliance and have appropriate enforcement mechanisms. Advocating Responsible AI Practices for Inclusive Benefit Lee has presented her work and engaged in multi- stakeholder conversations on a global scale, with participation in events in Europe, Asia, the Middle East, and North America. Her experiences underscore one of her fundamental messages – the recognition that AI constitutes a global and multidisciplinary field. These opportunities also provide her with invaluable perspectives on how to unlock AI's benefits and manage the risks for everyone. Nobody should be left behind, including historically under-represented people. Since technology does not stop at borders, Lee emphasizes the importance of fostering international harmonization among countries. Oftentimes, laws vary among countries, and technical standards and other tools can increase harmonization. Multi-lateral efforts and standards bodies have a key role in advancing international harmonization. Many of Lee's presentations focus on responsibly unlocking the benefits and mitigating the risks of AI and data. AI holds tremendous potential to advance social good, including helping address climate change, which is part of Lee's GPAI work, healthcare and helping achieve the UN Sustainable Development Goals. AI can also advance global security and prosperity. However, Lee stresses that all of this must be done in a way that protects individuals and is safe, fair and equitable. Some of Lee's talks focus on strategies for achieving these objectives, both at a policy level and within individual organizations. Driving Success and Ethical Imperative Diversity and inclusion can significantly contribute to an organization's success in many ways. In addition to helping recruit and retain the best talent, diverse teams tend to bring broader perspectives to projects, which often lead to more creative and innovative solutions. When people feel included and valued, they tend to have more loyalty and commitment to the organization, which in turn, can enhance work quality. Recognizing the value of diverse teams, many clients insist on them. Lee also frequently presents on other topics, including AI and climate, AI and intellectual property, AI and privacy, as well as strategies for enhancing responsible AI data and model sharing. These presentations often draw on work her with OECD AI and GPAI. Equally important, organizations should embrace diversity and inclusion because it's the right thing to do. Everyone deserves a 05 06 www.ciobusinessworld.com Helping Boards Manage Technology, Govrnance,, Sustainability, and DEI Guidance on Passion and Persistence Lee advises women science and technology leaders to discover their passion and build their expertise around it. There are myriad AI issues demanding attention. People tend to enjoy their work and succeed more when they focus on topics they care about. People should set goals, but not get discouraged if they don't always achieve them. Persistence pays, and everyone can learn from mistakes. In her legal practice, Lee gained expertise advising corporate and non-profit boards. She also has served on boards. Looking ahead, Lee hopes to be appointed to more boards, and her experience positions her well for these roles. Boards have increasing responsibilities to oversee technology matters. Lee brings tremendous expertise in this area, as well as in governance, sustainability, and diversity. Women also should invest in themselves. This includes pursuing opportunities to enhance their AI knowledge, experience and profile. Networking also is important, including to cultivate mentors and sponsors who can introduce women to exciting opportunities. Networking can also lead to new clients, customers, or other business arrangements. Navigating the Challenges and Opportunities The intersection of AI and global governance presents both challenges and opportunities. At the policy level, countries are actively developing frameworks to unlock AI benefits while managing associated risks. Multilateral organizations like the UN, G7, OECD, GPAI, NATO, among others, are striving to foster greater international regulatory harmonization recognizing the borderless nature of technology. Pioneering Women in Technology Lee draws inspiration from the many women leaders across technology, law, policy, economics, business, social sciences, and other disciplines, already shaping the future of AI and technology. She's equally excited by the large number of talented women students and young professionals who want to make their mark in this field. She foresees talented women across generations helping make the technology industry more inclusive for everyone and enhancing responsible innovation. Another challenge rests in developing standards, guidance, and tools to operationalize the AI laws and policies in practice. Organizations also face challenges implementing new AI laws and policies within their operations, as well as keeping pace with the many technical, legal, business and other changes. Addressing these challenges necessitates multi-disciplinary collaboration and solutions, both globally and within organizations. It's also critical to factor in views of historically under-represented groups to ensure that everyone benefits from AI and is protected against risks. Given AI's fast paced, global and multi-disciplinary nature, opportunities exist for everyone to participate. 07

14. Crafting Agile and Enduring Legal Frameworks for AI in a Global Landscape fair and equal opportunity to grow and excel. It's simply wrong to deny opportunities to any person based on race, gender, sexual orientation or some other protected characteristic. Lee explains that developing effective AI legal frameworks presents challenges. On the one hand, the frameworks must endure and increase certainty. On the other hand, the frameworks must be capable of adapting to rapid technological changes. Lee adds that AI legal frameworks should include both binding laws and rules, which tend to be enduring, as well as technical standards, guidance, and other tools, which typically can be adapted more quickly. To enhance effectiveness, the frameworks should both incentive compliance and have appropriate enforcement mechanisms. Advocating Responsible AI Practices for Inclusive Benefit Lee has presented her work and engaged in multi- stakeholder conversations on a global scale, with participation in events in Europe, Asia, the Middle East, and North America. Her experiences underscore one of her fundamental messages – the recognition that AI constitutes a global and multidisciplinary field. These opportunities also provide her with invaluable perspectives on how to unlock AI's benefits and manage the risks for everyone. Nobody should be left behind, including historically under-represented people. Since technology does not stop at borders, Lee emphasizes the importance of fostering international harmonization among countries. Oftentimes, laws vary among countries, and technical standards and other tools can increase harmonization. Multi-lateral efforts and standards bodies have a key role in advancing international harmonization. Many of Lee's presentations focus on responsibly unlocking the benefits and mitigating the risks of AI and data. AI holds tremendous potential to advance social good, including helping address climate change, which is part of Lee's GPAI work, healthcare and helping achieve the UN Sustainable Development Goals. AI can also advance global security and prosperity. However, Lee stresses that all of this must be done in a way that protects individuals and is safe, fair and equitable. Some of Lee's talks focus on strategies for achieving these objectives, both at a policy level and within individual organizations. Driving Success and Ethical Imperative Diversity and inclusion can significantly contribute to an organization's success in many ways. In addition to helping recruit and retain the best talent, diverse teams tend to bring broader perspectives to projects, which often lead to more creative and innovative solutions. When people feel included and valued, they tend to have more loyalty and commitment to the organization, which in turn, can enhance work quality. Recognizing the value of diverse teams, many clients insist on them. Lee also frequently presents on other topics, including AI and climate, AI and intellectual property, AI and privacy, as well as strategies for enhancing responsible AI data and model sharing. These presentations often draw on work her with OECD AI and GPAI. Equally important, organizations should embrace diversity and inclusion because it's the right thing to do. Everyone deserves a 14 06 www.ciobusinessworld.com Helping Boards Manage Technology, Govrnance,, Sustainability, and DEI Guidance on Passion and Persistence Lee advises women science and technology leaders to discover their passion and build their expertise around it. There are myriad AI issues demanding attention. People tend to enjoy their work and succeed more when they focus on topics they care about. People should set goals, but not get discouraged if they don't always achieve them. Persistence pays, and everyone can learn from mistakes. In her legal practice, Lee gained expertise advising corporate and non-profit boards. She also has served on boards. Looking ahead, Lee hopes to be appointed to more boards, and her experience positions her well for these roles. Boards have increasing responsibilities to oversee technology matters. Lee brings tremendous expertise in this area, as well as in governance, sustainability, and diversity. Women also should invest in themselves. This includes pursuing opportunities to enhance their AI knowledge, experience and profile. Networking also is important, including to cultivate mentors and sponsors who can introduce women to exciting opportunities. Networking can also lead to new clients, customers, or other business arrangements. Navigating the Challenges and Opportunities The intersection of AI and global governance presents both challenges and opportunities. At the policy level, countries are actively developing frameworks to unlock AI benefits while managing associated risks. Multilateral organizations like the UN, G7, OECD, GPAI, NATO, among others, are striving to foster greater international regulatory harmonization recognizing the borderless nature of technology. Pioneering Women in Technology Lee draws inspiration from the many women leaders across technology, law, policy, economics, business, social sciences, and other disciplines, already shaping the future of AI and technology. She's equally excited by the large number of talented women students and young professionals who want to make their mark in this field. She foresees talented women across generations helping make the technology industry more inclusive for everyone and enhancing responsible innovation. Another challenge rests in developing standards, guidance, and tools to operationalize the AI laws and policies in practice. Organizations also face challenges implementing new AI laws and policies within their operations, as well as keeping pace with the many technical, legal, business and other changes. Addressing these challenges necessitates multi-disciplinary collaboration and solutions, both globally and within organizations. It's also critical to factor in views of historically under-represented groups to ensure that everyone benefits from AI and is protected against risks. Given AI's fast paced, global and multi-disciplinary nature, opportunities exist for everyone to participate. 07

15. 15 www.ciobusinessworld.com Helping Boards Manage Technology, Govrnance,, Sustainability, and DEI Guidance on Passion and Persistence Lee advises women science and technology leaders to discover their passion and build their expertise around it. There are myriad AI issues demanding attention. People tend to enjoy their work and succeed more when they focus on topics they care about. People should set goals, but not get discouraged if they don't always achieve them. Persistence pays, and everyone can learn from mistakes. In her legal practice, Lee gained expertise advising corporate and non-profit boards. She also has served on boards. Looking ahead, Lee hopes to be appointed to more boards, and her experience positions her well for these roles. Boards have increasing responsibilities to oversee technology matters. Lee brings tremendous expertise in this area, as well as in governance, sustainability, and diversity. Women also should invest in themselves. This includes pursuing opportunities to enhance their AI knowledge, experience and profile. Networking also is important, including to cultivate mentors and sponsors who can introduce women to exciting opportunities. Networking can also lead to new clients, customers, or other business arrangements. Navigating the Challenges and Opportunities The intersection of AI and global governance presents both challenges and opportunities. At the policy level, countries are actively developing frameworks to unlock AI benefits while managing associated risks. Multilateral organizations like the UN, G7, OECD, GPAI, NATO, among others, are striving to foster greater international regulatory harmonization recognizing the borderless nature of technology. Pioneering Women in Technology Lee draws inspiration from the many women leaders across technology, law, policy, economics, business, social sciences, and other disciplines, already shaping the future of AI and technology. She's equally excited by the large number of talented women students and young professionals who want to make their mark in this field. She foresees talented women across generations helping make the technology industry more inclusive for everyone and enhancing responsible innovation. Another challenge rests in developing standards, guidance, and tools to operationalize the AI laws and policies in practice. Organizations also face challenges implementing new AI laws and policies within their operations, as well as keeping pace with the many technical, legal, business and other changes. Addressing these challenges necessitates multi-disciplinary collaboration and solutions, both globally and within organizations. It's also critical to factor in views of historically under-represented groups to ensure that everyone benefits from AI and is protected against risks. Given AI's fast paced, global and multi-disciplinary nature, opportunities exist for everyone to participate. 07

16. Helping Boards Manage Technology, Govrnance,, Sustainability, and DEI Guidance on Passion and Persistence Lee advises women science and technology leaders to discover their passion and build their expertise around it. There are myriad AI issues demanding attention. People tend to enjoy their work and succeed more when they focus on topics they care about. People should set goals, but not get discouraged if they don't always achieve them. Persistence pays, and everyone can learn from mistakes. In her legal practice, Lee gained expertise advising corporate and non-profit boards. She also has served on boards. Looking ahead, Lee hopes to be appointed to more boards, and her experience positions her well for these roles. Boards have increasing responsibilities to oversee technology matters. Lee brings tremendous expertise in this area, as well as in governance, sustainability, and diversity. Women also should invest in themselves. This includes pursuing opportunities to enhance their AI knowledge, experience and profile. Networking also is important, including to cultivate mentors and sponsors who can introduce women to exciting opportunities. Networking can also lead to new clients, customers, or other business arrangements. Navigating the Challenges and Opportunities The intersection of AI and global governance presents both challenges and opportunities. At the policy level, countries are actively developing frameworks to unlock AI benefits while managing associated risks. Multilateral organizations like the UN, G7, OECD, GPAI, NATO, among others, are striving to foster greater international regulatory harmonization recognizing the borderless nature of technology. Pioneering Women in Technology Lee draws inspiration from the many women leaders across technology, law, policy, economics, business, social sciences, and other disciplines, already shaping the future of AI and technology. She's equally excited by the large number of talented women students and young professionals who want to make their mark in this field. She foresees talented women across generations helping make the technology industry more inclusive for everyone and enhancing responsible innovation. Another challenge rests in developing standards, guidance, and tools to operationalize the AI laws and policies in practice. Organizations also face challenges implementing new AI laws and policies within their operations, as well as keeping pace with the many technical, legal, business and other changes. Addressing these challenges necessitates multi-disciplinary collaboration and solutions, both globally and within organizations. It's also critical to factor in views of historically under-represented groups to ensure that everyone benefits from AI and is protected against risks. Given AI's fast paced, global and multi-disciplinary nature, opportunities exist for everyone to participate. 16

18. ARTICLE From Automation to Augmentation: Transforming the Future of Work 18

19. I of traditional roles. However, a shift is underway as we move from viewing automation as a threat to embracing it as a tool for augmentation, enhancing human capabilities and reshaping the nature of work. This transition holds the promise of unlocking new opportunities, fostering innovation, and empowering workers to thrive in the digital age. human eye, leading to more accurate diagnoses and better patient outcomes. Similarly, in manufacturing, collaborative robots, or cobots, can work alongside human workers to perform repetitive or physically demanding tasks, freeing them to focus on more complex and value-added activities. n recent years, the rise of automation has sparked debates about its potential impact on the workforce, with concerns about job displacement and the erosion The shift from automation to augmentation also requires a reimagining of education and training systems to equip workers with the skills and competencies needed to thrive in a digital economy. This includes fostering digital literacy, critical thinking, adaptability, and lifelong learning, as well as providing opportunities for upskilling and reskilling to meet evolving job demands. By investing in human capital development, we can ensure that workers are prepared to harness the potential of automation and navigate the changing landscape of work. Automation, powered by advancements in artificial intelligence, robotics, and machine learning, has already revolutionized many industries, streamlining processes, increasing efficiency, and driving productivity gains. While some tasks may become automated, the focus is increasingly shifting towards leveraging Furthermore, the transition to augmentation presents opportunities for businesses to innovate and create new value propositions. By integrating automation technologies into their operations, organizations can optimize processes, improve customer experiences, and drive growth. For example, in retail, AI-powered chatbots can provide personalized recommendations and support to customers, enhancing engagement and loyalty. In finance, automated algorithms can analyze vast amounts of data to detect fraudulent activities and mitigate risks, safeguarding the integrity of financial systems. automation to augment human capabilities, rather than replace them entirely. This approach recognizes that humans possess unique skills, such as creativity, empathy, and complex problem-solving, that are difficult to replicate with machines. However, as we embrace the potential of augmentation, it is essential to address potential challenges and risks, including concerns about job displacement, inequality, and ethical considerations surrounding the use of automation technologies. This requires proactive measures to ensure that the benefits of augmentation are equitably distributed and that workers are supported through periods of transition. It also necessitates ethical frameworks and guidelines to govern the responsible development and deployment of automation technologies, ensuring that they align with societal values and respect human dignity. Augmentation involves integrating automation technologies into workflows to enhance human performance, enable new ways of working, and unlock new possibilities. For example, in healthcare, AI-powered diagnostic tools can assist physicians in analyzing medical images and identifying patterns that may be In conclusion, the transition from automation to augmentation represents a paradigm shift in how we perceive and harness technology in the workplace. By embracing automation as a tool for augmentation, we can unlock new opportunities, enhance human capabilities, and create a future where humans and machines collaborate synergistically to drive innovation and prosperity. However, realizing this vision requires collective action, collaboration, and a commitment to ensuring that the benefits of augmentation are shared by all. imperceptible to the 19 www.ciobusinessworld.com

22. CXO T will be needed in the future, and how do we prepare our businesses for that future? Starting young he letters on all our minds are of course AI and what it means for our businesses and our technology teams. What skills Did you know that children can make career level type decisions as young as five years old? Also, between leaving primary and secondary school children's views on which careers are 'for them' continue to narrow as they are influenced by their families, communities, teachers, and peers. They then narrow again when they pick GCSEs, usually to try and match a very small number of career options. While AI might be busy revolutionising how we work, how we interact, and how we run our lives, there is one critical thing it's not going to change unless we act quickly. Right now, we are experiencing a crisis around skills gaps in digital, tech and tech adjacent roles. All research companies, recruiters, and management consultants tell us that the technology skills gap is only going to widen. Simply, more people need better digital skills and the ability to work confidently with AI as it augments and enhances their roles. How to make schools engagement part of your talent management programme A crucial but often under-developed component of strategic talent management programmes is the implementation of a volunteering scheme that works with schools to inspire new generations to join the tech workforce in the future. Not only can this create a bigger pool to recruit from, but a well-designed scheme focusing on young people from disadvantaged or under-represented groups can also create a large and diverse pipeline of previously untapped talent. It can also create a double-digit social value return on investment, not to mention engaged, confident and motivated employees. There's also a compelling need for technology and data teams to be far more diverse than they currently are. The most productive and performant businesses need to have teams that match the demographic of their customers and citizens - not just to be competitive, but also to avoid unintended negative consequences in the AI driven services being created. Despite more than 20 years of targeted interventions by progressive businesses to recruit inclusively, to create supportive environments, encourage early careers, continuous learning and 'squiggly' careers, diversity levels haven't really changed. Partnering with organisations who are trusted advisers to teachers and schools can accelerate impact both on the immediate and long-term 22

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24. talent pipeline, as well as deliver measurable social value at national and local levels in terms of addressing systemic issues such as social mobility. Your employees can: Ÿ Quickly register and undertake the required 45 minutes of training which includes safeguarding training Sustainable volunteering programmes in schools are easy to implement and manage if an educational partner like STEM Learning is used. You don't need to start from scratch. The free to use STEM Ambassadors platform has a Computing Ambassador scheme which guides and supports individuals and organisations through the volunteering process. Ÿ Get a free DBS check or share their DBS certificate if they already have one Ÿ Free access to a range of self-paced and remotely delivered training such as planning and delivery an activity, how to talk inclusively, how to engage virtually in an impactful way and many more 24 If more than 25 of your employees register and log at least one activity every 12 months, STEM Learning can create a data sharing agreement which will give you access to a consolidated social impact report for all the volunteering work reported by your employees on the platform. It really is that simple to generate social value impact, build a diverse future talent pipeline, help your early career employees develop key business skills - and ultimately increase both employee retention and productivity. To better represent the world we live in, we need to continue to challenge and diversify the industry. This starts in schools. Join us! employers@stem.org.uk Bio: Dr Nicki Clegg has over 30 years of experience as a technologist and 15 years as strategist and senior leader. She was a Chief Technology Officer for almost five years before deciding to focus fully on driving social mobility, diversity and inclusion in technology. She is now Industry Stakeholder Relationship Manager for STEM Learning helping deliver the National Centre for Computing Education (NCCE). Her role raises awareness of the NCCE and increases business engagement with schools and young people to help inspire a new and more diverse generation into careers in technology. Ÿ Free access to a digital community of other volunteers supporting each other Ÿ Free access to templated, tried and tested, impactful school activities Ÿ Free access to a 'marketplace' where teachers ask for volunteers to support them with specific asks (such as careers events or to support a competition), and where volunteers can share their offers to teachers Ÿ Free personal social impact score based on the activities logged on the platform

25. If more than 25 of your employees register and log at least one activity every 12 months, STEM Learning can create a data sharing agreement which will give you access to a consolidated social impact report for all the volunteering work reported by your employees on the platform. It really is that simple to generate social value impact, build a diverse future talent pipeline, help your early career employees develop key business skills - and ultimately increase both employee retention and productivity. To better represent the world we live in, we need to continue to challenge and diversify the industry. This starts in schools. Join us! employers@stem.org.uk Bio: Dr Nicki Clegg has over 30 years of experience as a technologist and 15 years as strategist and senior leader. She was a Chief Technology Officer for almost five years before deciding to focus fully on driving social mobility, diversity and inclusion in technology. She is now Industry Stakeholder Relationship Manager for STEM Learning helping deliver the National Centre for Computing Education (NCCE). Her role raises awareness of the NCCE and increases business engagement with schools and young people to help inspire a new and more diverse generation into careers in technology. Ÿ Free access to a digital community of other volunteers supporting each other Ÿ Free access to templated, tried and tested, impactful school activities Ÿ Free access to a 'marketplace' where teachers ask for volunteers to support them with specific asks (such as careers events or to support a competition), and where volunteers can share their offers to teachers Ÿ Free personal social impact score based on the activities logged on the platform 25 www.ciobusinessworld.com

26. ARTICLE 26

27. Opportunities and Challenges in Implementing AI: A operations, enhance decision-making, and drive innovation. However, along with these opportunities come significant challenges that must be navigated to realize the full potential of AI. Understanding both the opportunities and challenges is essential for organizations seeking to leverage AI effectively and responsibly. Navigating the Path to Success rtificial Intelligence (AI) presents a myriad of opportunities for businesses, governments, and society at large, offering the potential to streamline can lead to skewed results and perpetuate inequalities. Ensuring data quality and addressing bias is crucial for the ethical and responsible use of AI. 2. Ethical Concerns: AI raises complex ethical issues, including concerns about privacy, transparency, accountability, and the impact on jobs and society. Organizations must consider the ethical implications of their AI systems and implement safeguards to mitigate risks. Opportunities: 3. Talent Shortage: There is a growing demand for AI talent, including data scientists, machine learning engineers, and AI ethicists, but a shortage of skilled professionals in these fields. Building a diverse and inclusive AI workforce is essential for driving innovation and addressing emerging challenges. 1. Increased Efficiency: AI technologies can automate repetitive tasks, optimize processes, and improve productivity, allowing organizations to allocate resources more efficiently and focus on higher-value activities. 2. Enhanced Decision-Making: AI-powered analytics can analyze vast amounts of data, uncover insights, and provide predictive capabilities, enabling better-informed decision- making and more effective strategic planning. 4. Regulatory and Legal Uncertainty: The rapid pace of AI innovation has outpaced regulatory frameworks, leading to uncertainty about legal and ethical standards for AI deployment. Clear regulations and guidelines are needed to ensure that AI technologies are developed and used responsibly. 3. Personalized Experiences: AI algorithms can analyze user data to deliver personalized recommendations, content, and services, enhancing customer experiences and driving engagement and loyalty. 5. Security and Privacy Risks: AI systems are vulnerable to cyberattacks, data breaches, and adversarial attacks, posing risks to sensitive information and critical infrastructure. Robust cybersecurity measures and privacy protections are essential for safeguarding AI systems and maintaining trust. 4. Innovation and Creativity: AI can augment human creativity by generating novel ideas, assisting in design tasks, and facilitating collaboration, fostering a culture of innovation within organizations. 5. Improved Healthcare Outcomes: AI-driven diagnostics, predictive analytics, and personalized treatment plans have the potential to revolutionize healthcare, leading to earlier detection, more accurate diagnoses, and better patient outcomes. Navigating the implementation of AI requires organizations to strike a balance between leveraging the opportunities it presents and addressing the challenges it poses. This involves investing in talent development, prioritizing ethical considerations, collaborating with stakeholders, and embracing a culture of responsible innovation. By proactively addressing these opportunities and challenges, organizations can harness the transformative power of AI to drive sustainable growth, improve outcomes, and create value for society. Challenges: 1. Data Quality and Bias: AI models are only as good as the data they are trained on, and biased or incomplete data 27 www.ciobusinessworld.com

28. CXO Green House Gas Protocol – Scope 3 Emissions and Technological approaches to measure S accounting. These emissions are generally the most significant share of an organization's carbon footprint but are also the most complex to manage and mitigate, as they involve activities not directly owned or controlled by the reporting company. Scope 3 includes both upstream and downstream emissions and encompasses a wide range of indirect emissions sources. Investor and Stakeholder Pressure: There is increasing pressure from investors, customers, and other stakeholders for companies to report and reduce their Scope 3 emissions. This pressure often drives more detailed and rigorous reporting and reduction strategies. cope 3 emissions, often referred to as “value chain emissions,” are a part of the Greenhouse Gas Protocol's corporate standard for greenhouse gas Ÿ Sector-Specific Guidelines: Certain industries have specific guidelines or expectations for Scope 3 reporting. For example, the Science Based Targets initiative (SBTi) provides methods and guidance for companies to set science-based targets for reducing greenhouse gas emissions, including Scope 3. Ÿ The regulations and guidelines around Scope 3 emissions vary depending on the region and the specific regulatory framework. However, there are some general aspects to consider: Local and National Regulations: Some countries have specific regulations or guidelines for Scope 3 reporting. These can vary significantly and may be more or less stringent than international standards. Ÿ Voluntary vs. Mandatory Reporting: In many regions, reporting Scope 3 emissions is still voluntary but is increasingly being encouraged or required as part of broader sustainability reporting frameworks. For example, the European Union's Non-Financial Reporting Directive (NFRD) encourages companies to report on their Scope 3 emissions. Ÿ Integration with Broader ESG Goals: Scope 3 emissions reporting is often part of broader environmental, social, and governance (ESG) strategies and goals within organizations. Ÿ Technological Approaches for Measuring Scope 3 Emissions Standards and Protocols: The Greenhouse Gas Protocol provides the most widely used international accounting tool for government and business leaders to understand, quantify, and manage greenhouse gas emissions, including Scope 3. Ÿ Measuring Scope 3 emissions involves complex data collection and analysis due to the broad range of indirect emission sources across a company's value chain. Technology plays a crucial role in this process, with several key approaches: Corporate Sustainability Reporting: Companies may choose to report Scope 3 emissions as part of their sustainability or corporate social responsibility (CSR) reporting. This is often done to improve transparency, manage risks, and identify opportunities for reducing emissions in the supply chain. Ÿ Life Cycle Assessment (LCA) Tools: These software tools analyze the environmental impacts of products or services throughout their entire life cycle, from raw material extraction to disposal. LCA tools can be Ÿ 28

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30. Blockchain and IoT: Emerging technologies like blockchain and the Internet of Things (IoT) offer new ways to track and verify emissions data across complex supply chains, enhancing transparency and accuracy. Ÿ Data Sources for Scope 3 Emissions Measurement Scope 3 reporting platforms gather data from a variety of sources: Supplier Surveys and Self-Reporting: Direct communication with suppliers to collect data on their emissions and environmental practices. Ÿ Industry Averages and Benchmarks: Utilizing established databases and benchmarks to estimate emissions for common processes or products in the absence of specific data. Ÿ Public and Proprietary Databases: Accessing government or commercial databases that provide emissions factors and environmental impact data for a wide range of activities and materials. Ÿ Sensor and IoT Data: Collecting real-time data from sensors and IoT devices embedded in products or supply chain operations to monitor emissions. Ÿ instrumental in quantifying Scope 3 emissions related to product use and end-of-life stages. Ÿ Supply Chain Analysis Software: These platforms focus on mapping and assessing emissions within a company's supply chain. They help identify hotspots of high emissions and opportunities for reduction by analyzing supplier data and activities. Ÿ Carbon Accounting Platforms: These comprehensive tools enable companies to track and manage their carbon emissions across all scopes, including Scope 3. They often feature dashboards, reporting capabilities, and scenario analysis to support strategic decision-making. Ÿ Specialities: Strategic Leadership • Digital Transformation • Blockchain • SAP platform functional consultant (APO, Hana, BI, WMS, S&D) • Compliance regulations (focus on Sustainability, Human Rights and Modern Slavery, Cyber, Financial risk) • Implementation Mgmt. • Customer Relationship Mgmt. Energy Management Systems (EMS): While primarily focused on direct energy consumption (Scope 1 and 2), EMS can also contribute to Scope 3 analysis by providing insights into the energy use and associated emissions of leased assets, franchises, and outsourced activities. Ÿ 30

31. Reliability and Approaches Integration with Existing Systems: The software should integrate seamlessly with your existing ERP, CRM, and other management systems to streamline data flow and avoid silos. Ÿ Ÿ The reliability of Scope 3 measurement can vary significantly based on the data quality, the methodologies used, and the comprehensiveness of the analysis. Approaches that incorporate primary data from direct suppliers and use robust, widely recognized methodologies (like those recommended by the Greenhouse Gas Protocol) tend to be more reliable. However, even with the best tools and intentions, Scope 3 measurements often involve a degree of estimation and uncertainty, especially when relying on secondary data or industry averages. Compliance and Standards Alignment: Verify that the software supports compliance with relevant regional regulations and aligns with international standards like the Greenhouse Gas Protocol. Ÿ User Support and Training: Adequate user support, training, and resources are essential to ensure the successful implementation and ongoing use of the platform. Ÿ Watch-Outs When Sourcing Scope 3 Reporting Software In conclusion, technology offers powerful tools for measuring Scope 3 emissions, but the choice of platform and approach requires careful consideration of your company's specific needs, the quality and source of the data used, and the ability to integrate and align with broader sustainability goals Data Quality and Transparency: Ensure the software supports high-quality, verifiable data collection and offers transparency about its methodologies and data sources. Ÿ Customization and Scalability: The platform should be adaptable to your specific industry and supply chain complexity and scalable as your business and reporting needs evolve. Ÿ Michelle Armstrong – Global VP Value Solutions Michelle.armstrong@TrustYourSupplier.com https://www.linkedin.com/in/michelle-armstrong-ab895a32/ https://trustyoursupplier.com/ Specialities: Strategic Leadership • Digital Transformation • Blockchain • SAP platform functional consultant (APO, Hana, BI, WMS, S&D) • Compliance regulations (focus on Sustainability, Human Rights and Modern Slavery, Cyber, Financial risk) • Implementation Mgmt. • Customer Relationship Mgmt. 31 www.ciobusinessworld.com

32. ARTICLE Optimizing AI for health Enquiry: The 5 Key Ingredients Human-AI collaboration can counteract bias. AI systems that combine human expertise with machine learning not only improve performance but help address algorithmic bias. Humans provide context and equity, while AI adds speed and scale. This balanced approach prevents marginalized groups from being overlooked. A rtificial intelligence (AI) holds tremendous potential to improve healthcare and public health outcomes. But if not developed thoughtfully with equity in mind, AI risks exacerbating disparities. Here are five things to know about ensuring AI promotes health equity: Diversity in data and teams enables equity. To develop equitable AI, diverse real-world data and perspectives are needed. Inclusive data collection and having representative teams involved in design, validation, and evaluation helps build sensitivity to different populations into systems. AI can reveal healthcare disparities. By analyzing large, diverse health datasets, AI systems can uncover differences in access, treatment, and outcomes across demographics that may otherwise go unnoticed. For example, an algorithm may find racial disparities in cardiac care by mining electronic health records. These insights allow targeting of solutions to disadvantaged groups. Post-deployment audits uphold fairness. Ongoing testing for discrimination and regular algorithmic impact assessments after implementation are key to ensuring AI fairness in practice. This allows prompt identification and correction of emergent biases as systems are used in changing real environments. AI models can perpetuate bias. Because AI learns from data, models trained on historically biased datasets may disproportionately misdiagnose, underserve, or negatively impact marginalized populations. Studies have found automated systems that exhibit gender and race bias. Ongoing bias monitoring and mitigation is crucial throughout development and use. The increasing use of AI in medicine holds vast potential to improve care, but thoughtfully embedding equity considerations through its development and application is crucial to truly benefitting all patients. This requires conscientious effort, but the rewards will be more informed, just, and compassionate healthcare for all. 32

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