Dead Zone of Accountability: Why Social Claims in Machine Learning Research Should Be Articulated and Defended

Tianqi Kou, Dana Calacci, Cindy Lin. Dead Zone of Accountability: Why Social Claims in Machine Learning Research Should Be Articulated and Defended. In Emanuelle Burton, Nicholas Mattei, Andrés Páez, editors, Proceedings of the Eighth AAAI/ACM Conference on AI, Ethics, and Society, AIES 2025, Madrid, Spain, October 20-22, 2025, Main Track II. pages 1501-1512, AAAI Press, 2025. [doi]

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