“The AI Dilemma”: A Review Of Key Issues Facing Management And Society

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David A. Teich is interested in artificial intelligence (AI), machine learning (ML), robotics, and other advances technologies, focused on how they help businesses improve performance. He's an analyst and consultant in those areas as well as in high tech, B2B, marketing.

OpenAI ChatGPT Opens The Door For You To Make Money By Easily Devising Income-Producing GPTs Based On What You Know Or What Others Want To Know,” by Juliette Powell and Art Kleiner, is subtitled “7 Principles for Responsible Technology.” It’s good to two important reasons. First, it makes sense. Second, it’s rather short.

The book then switches to another topic dear to me, the black box. First, they give a good explanation of why they’re calling it a closed box, and I’m good with that term. The lack of explainability is a serious risk in all systems, but is increasingly important to AI adoption. They mention the different types of explainability that must be considered, from how the code works to being able to understand results in a way that helps non-technical people gain trust in systems.

 

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