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Lars Winkelbauer – What makes a good AI approach?

Artificial intelligence is one of the major developments in recent years. It is helping make numerous processes simpler and more efficient. However, when artificial intelligence is concerned, the issue of ethics arises. People often find themselves wondering as to what makes for a good AI approach. Here are some things that one must know.<br><br>

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Lars Winkelbauer – What makes a good AI approach?

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  1. Lars Winkelbauer – What makes a good AI approach?

  2. Artificial intelligence is one of the major developments in recent years. It is helping make numerous processes simpler and more efficient. However, when artificial intelligence is concerned, the issue of ethics arises. People often find themselves wondering as to what makes for a good AI approach. Here are some things that one must know. AI ethics These are a set of techniques and principles that inform one about the responsible use of AI. It is so because it is increasingly becoming an integral part of numerous systems. These essentially act as the framework that sheds light upon the numerous risks and benefits that are associated with artificial intelligence.Lars Winkelbauer Collaborative Platforms: Fostering Sustainability in Air Cargo Logisticsadds further insight!

  3. Ethical concerns The use of artificial intelligence-based technology brings several challenges associated with the ethics of it. Responsibility The dilemma of who must be responsible for the use of artificial intelligence is a major concern. The numerous businesses and associations that depend upon artificial intelligence to carry out decision-making must ponder it.

  4. Reasonability • It is important that artificial intelligence-associated actions be efficiently understood and tracked to understand the reason behind the decision that has been made. • Fairness • Those who make use of artificial intelligence must ensure that the data that is used to train the machine learning software is accurate and unbiased. Without a proper data set to train a system, the obtained results will not be the best possible outcomes. • Reliability • Artificial intelligence models can be subject to numerous mistakes. Thus, this concern needs to be rectified by ensuring that the accuracy and dependability of the data set are maintained efficiently. • Transparency • In terms of decision-making, artificial intelligence can put forth an output. However, as to how this output is obtained is not entirely justified. Thus, the transparency of practices associated with data counts under major concern.

  5. These are the set of rules that define what an ethical use of artificial intelligence may entail. • An artificial intelligence system must be traceable. • It must have a positive purpose. • It must make use of collected data efficiently and responsibly. • It must provide unbiased decision-making outcomes with the use of provided data. • It must make use of standard, trained models with no corruption. • It must provide enough security and privacy to the respective users when collecting data. Artificial intelligence code of ethics

  6. Human society has become increasingly dependent on artificial intelligence to carry out several tasks. It is due to this that several guidelines have been put in place. Multiple actions are taken. Precautions are put in place to ensure that technology as useful as artificial intelligence is not used for unintended purposes. • As numerous issues arise with the use of artificial intelligence regulations are being put in place to ensure consumer wellbeing and provide the solution to the many issues. Artificial intelligence is quite a useful technology that will only improve with time. Make sure you remain updated on all the current changes. Catch up by reading the blog Lars Winkelbauer – A Journey to Improve Airport and Airline Customer Experience. Conclusion

  7. THANKS FOR WATCHING

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