AI Evaluation Should Work With Humans
Redefining performance metrics to prioritize human-AI collaboration over autonomous replacement.
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 evaluatin...
ArXiv CS.AI
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Shifting the AI evaluation paradigm from autonomous replacement to collaborative integration ensures technology remains a tool that amplifies human potential rather than rendering it obsolete. This pivot addresses critical alignment issues by focusing on human-AI synergy as the primary metric for long-term societal progress.
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