| Accountability in an algorithmic society: relationality, responsibility, and robustness in machine learning AF Cooper, E Moss, B Laufer, H Nissenbaum Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 79 | 2022 |
| Scalable extraction of training data from (production) language models M Nasr, N Carlini, J Hayase, M Jagielski, AF Cooper, D Ippolito, ... arXiv preprint arXiv:2311.17035, 2023 | 76 | 2023 |
| Emergent unfairness in algorithmic fairness-accuracy trade-off research AF Cooper, E Abrams, N Na Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 46-54, 2021 | 64 | 2021 |
| Four years of FAccT: A reflexive, mixed-methods analysis of research contributions, shortcomings, and future prospects B Laufer, S Jain, AF Cooper, J Kleinberg, H Heidari Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 32 | 2022 |
| Talkin''Bout AI Generation: Copyright and the Generative-AI Supply Chain K Lee, AF Cooper, J Grimmelmann arXiv preprint arXiv:2309.08133, 2023 | 24 | 2023 |
| Hyperparameter optimization is deceiving us, and how to stop it AF Cooper, Y Lu, J Forde, CM De Sa Advances in Neural Information Processing Systems 34, 3081-3095, 2021 | 19 | 2021 |
| Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML Systems AF Cooper, K Levy, C De Sa Proceedings of the 1st ACM Conference on Equity and Access in Algorithms …, 2021 | 19 | 2021 |
| Asymptotically optimal exact minibatch metropolis-hastings R Zhang, AF Cooper, CM De Sa Advances in Neural Information Processing Systems 33, 19500-19510, 2020 | 18 | 2020 |
| Model selection's disparate impact in real-world deep learning applications JZ Forde, AF Cooper, K Kwegyir-Aggrey, C De Sa, M Littman arXiv preprint arXiv:2104.00606, 2021 | 17 | 2021 |
| AMAGOLD: Amortized Metropolis adjustment for efficient stochastic gradient MCMC R Zhang, AF Cooper, C De Sa International Conference on Artificial Intelligence and Statistics, 2142-2152, 2020 | 17 | 2020 |
| Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification AF Cooper, K Lee, MZ Choksi, S Barocas, C De Sa, J Grimmelmann, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22004 …, 2024 | 15* | 2024 |
| Non-determinism and the lawlessness of machine learning code AF Cooper, J Frankle, C De Sa Proceedings of the 2022 Symposium on Computer Science and Law, 1-8, 2022 | 8 | 2022 |
| Fast or Accurate? Governing Conflicting Goals in Highly Autonomous Vehicles AF Cooper, K Levy Colo. Tech. LJ 20, 221, 2022 | 7 | 2022 |
| Report of the 1st Workshop on Generative AI and Law AF Cooper, K Lee, J Grimmelmann, D Ippolito, C Callison-Burch, ... arXiv preprint arXiv:2311.06477, 2023 | 6 | 2023 |
| CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images A Gokaslan, AF Cooper, J Collins, L Seguin, A Jacobson, M Patel, ... arXiv preprint arXiv:2310.16825, 2023 | 6 | 2023 |
| Making the Unaccountable Internet: The Changing Meaning of Accounting in the Early ARPANET AF Cooper, G Vidan Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 5 | 2022 |
| Talkin''Bout AI Generation: Copyright and the Generative-AI Supply Chain (The Short Version) K Lee, AF Cooper, J Grimmelmann Proceedings of the Symposium on Computer Science and Law, 48-63, 2024 | 3 | 2024 |
| AI and Law: The Next Generation K Lee, AF Cooper, J Grimmelmann, D Ippolito Available at SSRN, 2023 | 3 | 2023 |
| Tecnologica cosa: Modeling Storyteller Personalities in Boccaccio's Decameron AF Cooper, M Antoniak, C De Sa, M Migiel, D Mimno arXiv preprint arXiv:2109.10506, 2021 | 3 | 2021 |
| Stealing Part of a Production Language Model N Carlini, D Paleka, KD Dvijotham, T Steinke, J Hayase, AF Cooper, ... arXiv preprint arXiv:2403.06634, 2024 | 2 | 2024 |
