arXiv AI By Jingyao Wu, Mohammad Tariqul Islam, Per R{\aa}dberg Nagb{\o}l, Julie Gerlings, Giovanni Leoni, Georgiana Fryza, Lars Pilegaard Thomsen, Jakob Mainz

Whose Ground Truth? Embracing Ambiguity in Human-Centered AI

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The paper titled "Whose Ground Truth? Embracing Ambiguity in Human-Centered AI" argues that current AI systems assume a single definitive ground truth, which ignores the inherent ambiguity in human interpretations. It calls for modeling the full space of plausible human judgments, distinguishing true ambiguity from noise, and suggests that this shift should influence how AI is represented, learned, evaluated, deployed, and governed.

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arXiv AI
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arXiv:2502. 20502v2 Announce Type: replace Abstract: Recent advances in Artificial Intelligence (AI) have yielded powerful computational models that, by learning from vast amounts of human-generated data, are increasingly posited as approximate models of human cognition.

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