| Fair prediction with disparate impact: A study of bias in recidivism prediction instruments A Chouldechova Big data 5 (2), 153-163, 2017 | 2636 | 2017 |
| Bias in bios: A case study of semantic representation bias in a high-stakes setting M De-Arteaga, A Romanov, H Wallach, J Chayes, C Borgs, ... proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019 | 539 | 2019 |
| The frontiers of fairness in machine learning A Chouldechova, A Roth arXiv preprint arXiv:1810.08810, 2018 | 516 | 2018 |
| A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions A Chouldechova, D Benavides-Prado, O Fialko, R Vaithianathan Conference on fairness, accountability and transparency, 134-148, 2018 | 460 | 2018 |
| A snapshot of the frontiers of fairness in machine learning A Chouldechova, A Roth Communications of the ACM 63 (5), 82-89, 2020 | 455 | 2020 |
| Does mitigating ML's impact disparity require treatment disparity? Z Lipton, J McAuley, A Chouldechova Advances in neural information processing systems 31, 2018 | 279 | 2018 |
| Toward algorithmic accountability in public services: A qualitative study of affected community perspectives on algorithmic decision-making in child welfare services A Brown, A Chouldechova, E Putnam-Hornstein, A Tobin, ... Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019 | 275 | 2019 |
| A case for humans-in-the-loop: Decisions in the presence of erroneous algorithmic scores M De-Arteaga, R Fogliato, A Chouldechova Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020 | 238 | 2020 |
| Sequential selection procedures and false discovery rate control MG G'Sell, S Wager, A Chouldechova, R Tibshirani Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2016 | 175 | 2016 |
| Counterfactual risk assessments, evaluation, and fairness A Coston, A Mishler, EH Kennedy, A Chouldechova Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 148 | 2020 |
| Generalized additive model selection A Chouldechova, T Hastie arXiv preprint arXiv:1506.03850, 2015 | 119 | 2015 |
| Characterizing fairness over the set of good models under selective labels A Coston, A Rambachan, A Chouldechova International Conference on Machine Learning, 2144-2155, 2021 | 94 | 2021 |
| Leveraging administrative data for bias audits: Assessing disparate coverage with mobility data for COVID-19 policy A Coston, N Guha, D Ouyang, L Lu, A Chouldechova, DE Ho Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021 | 94 | 2021 |
| Fairness in risk assessment instruments: Post-processing to achieve counterfactual equalized odds A Mishler, EH Kennedy, A Chouldechova Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021 | 92 | 2021 |
| What's in a name? Reducing bias in bios without access to protected attributes A Romanov, M De-Arteaga, H Wallach, J Chayes, C Borgs, ... arXiv preprint arXiv:1904.05233, 2019 | 90 | 2019 |
| Fairness evaluation in presence of biased noisy labels R Fogliato, A Chouldechova, M G’sell International conference on artificial intelligence and statistics, 2325-2336, 2020 | 86 | 2020 |
| Early stem cell engraftment predicts late cardiac functional recovery: preclinical insights from molecular imaging J Liu, KH Narsinh, F Lan, L Wang, PK Nguyen, S Hu, A Lee, L Han, ... Circulation: Cardiovascular Imaging 5 (4), 481-490, 2012 | 78 | 2012 |
| Soliciting stakeholders’ fairness notions in child maltreatment predictive systems HF Cheng, L Stapleton, R Wang, P Bullock, A Chouldechova, ZSS Wu, ... Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 75 | 2021 |
| Fairer and more accurate, but for whom? A Chouldechova, M G'Sell arXiv preprint arXiv:1707.00046, 2017 | 74 | 2017 |
| Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders L Stapleton, MH Lee, D Qing, M Wright, A Chouldechova, K Holstein, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 67 | 2022 |
Maria De-ArteagaAssistant Professor, University of Texas at AustinOverená e-mailová adresa na: utexas.edu
