| The Legal Duty to Search for Less Discriminatory Algorithms E Black, L Koepke, P Kim, S Barocas, M Hsu Conference on Fairness, Accountability, and Transparency (FAccT), 2024 | | 2024 |
| Measuring Machine Learning Harms from Stereotypes Requires Understanding Who Is Being Harmed by Which Errors in What Ways A Wang, X Bai, S Barocas, SL Blodgett arXiv preprint arXiv:2402.04420, 2024 | 2* | 2024 |
| Less Discriminatory Algorithms E Black, JL Koepke, P Kim, S Barocas, M Hsu Georgetown Law Journal 113 (1), 2024 | 6 | 2024 |
| On the Actionability of Outcome Prediction LT Liu, S Barocas, J Kleinberg, K Levy AAAI Conference on Artificial Intelligence (AAAI), 2024 | 5 | 2024 |
| Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification AF Cooper, K Lee, S Barocas, C De Sa, S Sen, B Zhang AAAI Conference on Artificial Intelligence (AAAI), 2024 | 30* | 2024 |
| Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy A Wang, S Kapoor, S Barocas, A Narayanan ACM Journal on Responsible Computing 1 (1), 2024 | 43 | 2024 |
| Fairness and Machine Learning: Limitations and Opportunities S Barocas, M Hardt, A Narayanan MIT Press, 2023 | 1835* | 2023 |
| Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints J Watson-Daniels, S Barocas, JM Hofman, A Chouldechova Conference on Fairness, Accountability, and Transparency (FAccT), 2023 | 10 | 2023 |
| Informational Diversity and Affinity Bias in Team Growth Dynamics H Heidari, S Barocas, J Kleinberg, K Levy Conference on Equity and Access in Algorithms, Mechanisms, and Optimization …, 2023 | 1 | 2023 |
| Taxonomizing and Measuring Representational Harms: A Look at Image Tagging J Katzman, A Wang, MK Scheuerman, SL Blodgett, K Laird, H Wallach, ... AAAI Conference on Artificial Intelligence (AAAI), 2023 | 26 | 2023 |
| Unfair Artificial Intelligence: How FTC Intervention Can Overcome the Limitations of Discrimination Law AD Selbst, S Barocas University of Pennsylvania Law Review 171 (4), 2023 | 26* | 2023 |
| Mimetic Models: Ethical Implications of AI that Acts like You R McIlroy-Young, J Kleinberg, S Sen, S Barocas, A Anderson Conference on AI, Ethics, and Society (AIES), 2022 | 7 | 2022 |
| Disentangling the Components of Ethical Research in Machine Learning C Ashurst, S Barocas, R Campbell, ID Raji Conference on Fairness, Accountability, and Transparency (FAccT), 2022 | 8 | 2022 |
| Measuring Representational Harms in Image Captioning A Wang, S Barocas, K Laird, H Wallach Conference on Fairness, Accountability, and Transparency (FAccT), 2022 | 39 | 2022 |
| Model Multiplicity: Opportunities, Concerns, and Solutions E Black, M Raghavan, S Barocas Conference on Fairness, Accountability, and Transparency (FAccT), 2022 | 65 | 2022 |
| Excerpt from Big Data’s Disparate Impact S Barocas, A Selbst Ethics of Data and Analytics: Concepts and Cases, 303-318, 2022 | 1 | 2022 |
| REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research JJ Smith, S Amershi, S Barocas, H Wallach, J Wortman Vaughan Conference on Fairness, Accountability, and Transparency (FAccT), 2022 | 26 | 2022 |
| An Uncommon Task: Participatory Design in Legal AI F Delgado, S Barocas, K Levy Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2022 | 26 | 2022 |
| Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies B Vecchione, S Barocas, K Levy Conference on Equity and Access in Algorithms, Mechanisms, and Optimization …, 2021 | 59 | 2021 |
| Responsible Computing During COVID-19 and Beyond S Barocas, A Biega, M Boyarskaya, K Crawford, H Daumé III, M Dudík, ... Communications of the ACM 64 (7), 30-32, 2021 | 2 | 2021 |
Arvind NarayananProfessor, Princeton University在 cs.princeton.edu 的电子邮件经过验证
