2 papers
cs.CY2025
Dead Zone of Accountability: Why Social Claims in Machine Learning Research Should Be Articulated and Defended
Tianqi Kou, Dana Calacci, Cindy Lin
Many Machine Learning research studies use language that describes potential social benefits or technical affordances of new methods and technologies. Such language, which we call…
cs.CY2025
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
Tianqi Kou
Two goals - improving replicability and accountability of Machine Learning research respectively, have accrued much attention from the AI ethics and the Machine Learning community.…