In this conversation, Art Kleiner discusses the four perspectives that decision-makers consider when making decisions about AI: the engineer's perspective, the business perspective, the government perspective, and the social justice perspective. He also talks about the importance of explainability in AI and the need for different explanations for different stakeholders. 

Kleiner concludes by describing his interest in exploring the intersection of machine learning, organizational learning, and human learning in his future work.

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