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Is ETHICS about ethics? Evaluating the ETHICS benchmark

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arxiv 2410.13009 v2 pith:LOCN4OWG submitted 2024-10-16 cs.CY

classification cs.CY
keywords ethicsbenchmarkvalidityaddingcapabilitiescleardatasetdrawing
verification ladder T0 review T1 audit T2 compute T3 formal
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ETHICS is probably the most-cited dataset for testing the ethical capabilities of language models. Drawing on moral theory, psychology, and prompt evaluation, we interrogate the validity of the ETHICS benchmark. Adding to prior work, our findings suggest that having a clear understanding of ethics and how it relates to empirical phenomena is key to the validity of ethics evaluations for AI.

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