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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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Publicado en:Commentary Vol. 160; no. 2; pp. 10 - 12
Autor principal: MEIGS, JAMES B.
Formato: Artículo
Publicado: Commentary, Inc. Sep2025
Materias:
OpenAI Inc.
Artificial intelligence
Human-computer interaction
Reinforcement learning
Computer programming
Acceso en línea:Ver este registro en EBSCOhost
Sumario: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 and unintended AI behaviors, and the importance of human oversight in AI deployment.