Gordon Dai

2 accepted papers

2026

Position: AI Welfare Is Bullshit

Yunze Xiao, Gordon Dai, Shahan Ali Memon, Jen-Tse Huang, Maarten Sap, Mona Diab

ICML 2026poster

In this position paper, we argue that for AI systems, ``welfare'' is a choice in mechanism and evaluation, rather than an empirically discoverable property, because welfare assessment lacks an external validation channel: there is no independent, intervention-based test that can falsify a welfare me…

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2025

Embracing Contradiction: Theoretical Inconsistency Will Not Impede the Road of Building Responsible AI Systems

Gordon Dai, Yunze Xiao

NeurIPS 2025poster

This position paper argues that the theoretical inconsistency often observed among Responsible AI (RAI) metrics, such as differing fairness definitions or trade-offs between accuracy and privacy, should be embraced as a valuable feature rather than a flaw to be eliminated. We contend that navigating…

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