| Algorithmic bias: Senses, sources, solutions S Fazelpour, D Danks Philosophy Compass 16 (8), e12760, 2021 | 180 | 2021 |
| Algorithmic Fairness from a Non-ideal Perspective S Fazelpour, ZC Lipton 2020 AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2020 | 116 | 2020 |
| The Kantian brain: brain dynamics from a neurophenomenological perspective S Fazelpour, E Thompson Current opinion in neurobiology 31, 223-229, 2015 | 103 | 2015 |
| Attention in the predictive mind M Ransom, S Fazelpour, C Mole Consciousness and cognition 47, 99-112, 2017 | 56 | 2017 |
| Diversity in sociotechnical machine learning systems S Fazelpour, M De-Arteaga Big Data & Society 9 (1), 20539517221082027, 2022 | 46 | 2022 |
| Affect-biased attention and predictive processing M Ransom, S Fazelpour, J Markovic, J Kryklywy, ET Thompson, RM Todd Cognition 203, 104370, 2020 | 45 | 2020 |
| Diversity, trust, and conformity: A simulation study S Fazelpour, D Steel Philosophy of Science 89 (2), 209-231, 2022 | 39 | 2022 |
| Multiple diversity concepts and their ethical-epistemic implications D Steel, S Fazelpour, K Gillette, B Crewe, M Burgess European journal for philosophy of science 8, 761-780, 2018 | 39 | 2018 |
| Algorithmic fairness and the situated dynamics of justice S Fazelpour, ZC Lipton, D Danks Canadian Journal of Philosophy 52 (1), 44-60, 2022 | 32 | 2022 |
| Information elaboration and epistemic effects of diversity D Steel, S Fazelpour, B Crewe, K Gillette Synthese 198, 1287-1307, 2021 | 27 | 2021 |
| Justice in misinformation detection systems: An analysis of algorithms, stakeholders, and potential harms T Neumann, M De-Arteaga, S Fazelpour Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 26 | 2022 |
| Fair machine learning under partial compliance J Dai, S Fazelpour, Z Lipton Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 55-65, 2021 | 24* | 2021 |
| Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society J Dai, S Fazelpour, Z Lipton | 15 | 2021 |
| Norms in counterfactual selection S Fazelpour Philosophy and Phenomenological Research 103 (1), 114-139, 2021 | 9 | 2021 |
| Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation T Neumann, S Lee, M De-Arteaga, S Fazelpour, M Lease arXiv preprint arXiv:2401.16558, 2024 | 7 | 2024 |
| The many faces of attention: why Precision optimization is not attention M Ransom, S Fazelpour The Philosophy and Science of Predictive Processing 119, 2020 | 4 | 2020 |
| Diversity and homophily in social networks S Fazelpour, H Rubin Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022 | 3 | 2022 |
| Creating a tool to reproducibly estimate the ethical impact of artificial intelligence S Jordan, S Fazelpour, A Koshiyama, J Kueper, C DeChant, B Leong, ... | 3 | 2019 |
| Authenticity and exclusion: social media algorithms and the dynamics of belonging in epistemic communities NJ Akpinar, S Fazelpour arXiv preprint arXiv:2407.08552, 2024 | 2* | 2024 |
| Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina Y Gao, D Lee, G Burtch, S Fazelpour arXiv preprint arXiv:2410.19599, 2024 | 1 | 2024 |
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgeVerified email at cmu.edu