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AI Evaluation Should Work With Humans

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Computer Science > Artificial Intelligence

arXiv:2608.13577 (cs)
[Submitted on 6 Jul 2026]

Title:AI Evaluation Should Work With Humans

View a PDF of the paper titled AI Evaluation Should Work With Humans, by Jan Kulveit and 2 other authors
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Abstract:This position paper argues that the dominant paradigm of AI evaluation (which focuses on superhuman autonomous performance and so implicitly targets the goal of replacing humans) is guiding AI development in the wrong direction. Instead, the AI community should pivot to evaluating the performance of human--AI teams. We argue that this collaborative shift will foster AI systems that act as true complements to human capabilities and therefore lead to far better societal outcomes than will the current process.
Comments: Accepted to ICML 2026 Position Paper Track
Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
Cite as: arXiv:2608.13577 [cs.AI]
  (or arXiv:2608.13577v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2608.13577
arXiv-issued DOI via DataCite

Submission history

From: Jan Kulveit [view email]
[v1] Mon, 6 Jul 2026 21:14:15 UTC (2,904 KB)
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