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Agreement Is Not Alignment: Divergent Moral Grounds in Human and LLM Ethical Judgments

Source
arxiv.org
Author
Octavian M. Machidon, Alina L. Machidon, Vojko Strahovnik, Mateja Centa Strahovnik, Jonas Miklav\v{c}i\v{c}, Marko Robnik \v{S}ikonja
Date
Why it matters

High label agreement with human annotators can hide divergent underlying reasoning — if your only scores final answers, it is measuring less than you think.

Terms in this piece · Glossary
  • eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
  • alignment — The work of making AI systems actually pursue what their builders and users intend, rather than something subtly or dangerously different.
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