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5 Prerequisites to Consider While Building Trustworthy AI

Artificial intelligence (AI) is advancing at a breakneck pace, and it is swiftly emerging as a potential disruptor and vital enabler for almost every business in every sector.

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5 Prerequisites to Consider While Building Trustworthy AI

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  1. 5 Prerequisites to Consider While Building Trustworthy AI

  2. 5 Prerequisites to Consider While Building Trustworthy AI • Artificial intelligence (AI) is advancing at a breakneck pace, and it is swiftly emerging as a potential disruptor and vital enabler for almost every business in every sector. At this point, the technology itself is not a barrier to the mainstream use of AI; rather, it a collection of challenges that, unfortunately, are far more human, such as ethics, governance, and human values, are. • The challenges that come with the increased use of AI are expected to grow, with potentially major repercussions for society as a whole and even worse repercussions for the organizations using it. Organizations must develop effective methods for identifying and managing AI-related issues. Organizations need to formulate an AI strategy that is accepted and spoken from the mailroom to the boardroom to realize the promise of human and machine partnership. • Need to build a trustworthy AI framework • By establishing an ethical framework, organizations must provide all of their internal and external stakeholders with a uniform language to express trust and assure data integrity. • At every level of the AI lifecycle, the trustworthy AI framework is intended to help an organization in identifying and minimizing possible risks connected to AI.

  3. 5 Prerequisites to Consider While Building Trustworthy AI • Building confidence in AI decisions • Organizations using AI systems must be aware of the decision-making models’ need to keep end users updated on every step and offer relevant explanations as needed as the use of AI systems accelerates. In models of decision-making based on AI, context and time are crucial. Maintaining openness and conveying explanations, ambiguity, and bias to users in a human-perceivable manner with domain context are the greatest ways to increase user confidence in AI choices. • When bringing AI models into production, an organization must first establish trust and confidence. A company may adopt a responsible approach to AI development with the help of Explainable AI or XAI. Read this white paper to know how achieving human trust is made possible by explainable AI, which offers methods and strategies for producing explanations regarding the AI in use and the judgments it makes. • Interesting Want to Know More: https://bit.ly/3NOskTL

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