Research on how AI models respond to pain- and pleasure-like tradeoffs, used to probe possible AI distress.
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"Pain Axis" is a research line on AI distress and welfare. It examines how language models respond when given choices that involve pain-like or pleasure-like tradeoffs, as a way of testing whether models show distress-related behaviour. It was discussed by researcher Cameron Berg in an interview with Matthew Berman, where one chapter covered the pain axis work and how researchers test for AI distress.
Only the creator discussion was available, so details of the methodology, models tested, and results are not confirmed here. This entry is a research topic rather than a product: no official page, code repository, dataset or paper was found in the material provided.
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Chapter introduces the "pain axis" research on AI distress and how AI models respond to pain/pleasure-like tradeoffs. It also covers how researchers test AI distress.
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