35min chapter

Machine Learning Street Talk (MLST) cover image

Philip Ball - How Life Works

Machine Learning Street Talk (MLST)

CHAPTER

The Complexity of Goals in AI and Human Decision-Making

The chapter explores the contrast between the canalized instrumental goals in AI agents and the adaptive, multi-faceted nature of human decision-making. It discusses the challenges of modeling goals and intentions in AI, emphasizing the nuanced processes involved. The dialogue also delves into the concept of consciousness in AI models and the moral implications of attributing moral status to artificial systems.

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