| Robustness in machine learning explanations: Does it matter? L Hancox-Li Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 126 | 2020 |
| Epistemic values in feature importance methods: Lessons from feminist epistemology L Hancox-Li, IE Kumar proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021 | 43 | 2021 |
| Making Intelligence: Ethical Values in IQ and ML Benchmarks B Blili-Hamelin, L Hancox-Li Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 15 | 2023 |
| Idealization and abstraction in models of injustice L Hancox‐Li Hypatia 32 (2), 329-346, 2017 | 12 | 2017 |
| Should attention be all we need? The epistemic and ethical implications of unification in machine learning N Fishman, L Hancox-Li Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 11 | 2022 |
| The Disagreement Problem in Faithfulness Metrics B Barr, N Fatsi, L Hancox-Li, P Richter, D Proano, C Mok arXiv preprint arXiv:2311.07763, 2023 | 5 | 2023 |
| Solutions in constructive field theory L Hancox-Li Philosophy of Science 84 (2), 335-358, 2017 | 5 | 2017 |
| Unsocial Intelligence: An Investigation of the Assumptions of AGI Discourse B Blili-Hamelin, L Hancox-Li, A Smart Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 141-155, 2024 | 2 | 2024 |
| Beyond Methods Reproducibility in Machine Learning L Hancox-Li, C One ML-Retrospectives, Surveys & Meta-Analyses Workshop at NeurIPS, 2020 | 2 | 2020 |
| Unsocial Intelligence: a Pluralistic, Democratic, and Participatory Investigation of AGI Discourse B Blili-Hamelin, L Hancox-Li, A Smart arXiv preprint arXiv:2401.13142, 2024 | 1 | 2024 |
| Stop treatingAGI'as the north-star goal of AI research B Blili-Hamelin, C Graziul, L Hancox-Li, H Hazan, EM El-Mhamdi, ... arXiv preprint arXiv:2502.03689, 2025 | | 2025 |
| Is ETHICS about ethics? Evaluating the ETHICS benchmark L Hancox-Li, B Blili-Hamelin arXiv preprint arXiv:2410.13009, 2024 | | 2024 |
