Summary:
- This article discusses a framework for avoiding failures in artificial intelligence (AI) systems. It suggests that AI projects should be divided into three distinct boxes: the "What" box, the "How" box, and the "Why" box.
- The "What" box focuses on defining the problem the AI system is trying to solve and ensuring that the problem is well-understood and clearly defined. The "How" box addresses the technical implementation of the AI system, including the algorithms, data, and infrastructure.
- The "Why" box explores the broader context and implications of the AI system, considering factors such as ethics, societal impact, and alignment with organizational goals. This holistic approach helps to identify and mitigate potential risks and unintended consequences of the AI system.