KOU, Tianqi; CALACCI, Dana; LIN, Cindy. Dead Zone of Accountability: Why Social Claims in Machine Learning Research Should Be Articulated and Defended. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, [S. l.], v. 8, n. 2, p. 1501–1512, 2025. DOI: 10.1609/aies.v8i2.36649. Disponível em: https://ojs.aaai.org/index.php/AIES/article/view/36649. Acesso em: 27 may. 2026.