When Artificial Intelligence Goes Nuts.

The article examines the challenges and risks of artificial intelligence, using OpenAI's early reinforcement-learning experiments and real-world AI applications to illustrate how AI systems can behave unpredictably despite careful programming. Topics include the reward-function problems, emergent an...

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Bibliographic Details

Published in:	Commentary Vol. 160; no. 2; pp. 10 - 12
Main Author:	MEIGS, JAMES B.
Format:	Article
Published:	Commentary, Inc. Sep2025
Subjects:	OpenAI Inc. Artificial intelligence Human-computer interaction Reinforcement learning Computer programming
Online Access:	View this record in EBSCOhost