Robustness in machine learning explanations: does it matter? - Leif Hancox-Li (FAT*, 2020)

Epistemic values in feature importance methods: Lessons from feminist epistemology. - Leif Hancox-Li; I. Elizabeth Kumar (FAccT, 2021)

Should attention be all we need? The epistemic and ethical implications of unification in machine learning. - Nic Fishman; Leif Hancox-Li (FAccT, 2022)

Making Intelligence: Ethics, IQ, and ML Benchmarks. - Borhane Blili-Hamelin; Leif Hancox-Li (CoRR, 2022)

Making Intelligence: Ethical Values in IQ and ML Benchmarks. - Borhane Blili-Hamelin; Leif Hancox-Li (FAccT, 2023)

The Disagreement Problem in Faithfulness Metrics. - Brian Barr; Noah Fatsi; Leif Hancox-Li; Peter Richter; Daniel Proano; Caleb Mok (CoRR, 2023)

Unsocial Intelligence: An Investigation of the Assumptions of AGI Discourse. - Borhane Blili-Hamelin; Leif Hancox-Li; Andrew Smart (AIES (1), 2024)

Unsocial Intelligence: a Pluralistic, Democratic, and Participatory Investigation of AGI Discourse. - Borhane Blili-Hamelin; Leif Hancox-Li; Andrew Smart (CoRR, 2024)

Is ETHICS about ethics? Evaluating the ETHICS benchmark. - Leif Hancox-Li; Borhane Blili-Hamelin (CoRR, 2024)

Stop treating 'AGI' as the north-star goal of AI research. - Borhane Blili-Hamelin; Christopher Graziul; Leif Hancox-Li; Hananel Hazan; El-Mahdi El-Mhamdi; Avijit Ghosh; Katherine A. Heller; Jacob Metcalf; Fabricio Murai; Eryk Salvaggio; Andrew Smart; Todd Snider; et al. (CoRR, 2025)