| 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, ... ACM Conference on Fairness, Accountability, and Transparency, 120--128, 2019 | 532 | 2019 |
| A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores M De-Arteaga, R Fogliato, A Chouldechova ACM CHI Conference on Human Factors in Computing Systems, 2020 | 236 | 2020 |
| What are the biases in my word embedding? N Swinger, M De-Arteaga, NT Heffernan IV, MDM Leiserson, AT Kalai AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES), 2019 | 125 | 2019 |
| 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, ... Conference of the North American Chapter of the Association for …, 2019 | 91 | 2019 |
| Machine learning for the developing world M De-Arteaga, W Herlands, DB Neill, A Dubrawski ACM Transactions on Management Information Systems (TMIS) 9 (2), 1-14, 2018 | 75 | 2018 |
| Algorithmic fairness in business analytics: Directions for research and practice M De‐Arteaga, S Feuerriegel, M Saar‐Tsechansky Production and Operations Management 31 (10), 3749-3770, 2022 | 69 | 2022 |
| Human-AI Collaboration with Bandit Feedback R Gao, M Saar-Tsechansky, M De-Arteaga, L Han, MK Lee, M Lease International Joint Conference on Artificial Intelligence (IJCAI), 2021 | 57 | 2021 |
| The effect of differential victim crime reporting on predictive policing systems NJ Akpinar, M De-Arteaga, A Chouldechova ACM Conference on Fairness, Accountability, and Transparency, 2021 | 48 | 2021 |
| Learning under selective labels in the presence of expert consistency M De-Arteaga, A Dubrawski, A Chouldechova Workshop on Fairness, Accountability, and Transparency in Machine Learning …, 2018 | 47 | 2018 |
| Diversity in sociotechnical machine learning systems S Fazelpour, M De-Arteaga Big Data & Society 9 (1), 20539517221082027, 2022 | 46 | 2022 |
| Human-Centered Responsible Artificial Intelligence: Current & Future Trends M Tahaei, M Constantinides, D Quercia, S Kennedy, M Muller, S Stumpf, ... Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023 | 43 | 2023 |
| Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making J Schoeffer, M De-Arteaga, N Kuehl 🏅Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-18, 2024 | 32 | 2024 |
| Leveraging expert consistency to improve algorithmic decision support M De-Arteaga, V Jeanselme, A Dubrawski, A Chouldechova arXiv preprint arXiv:2101.09648, 2021 | 30 | 2021 |
| Toward supporting perceptual complementarity in human-AI collaboration via reflection on unobservables K Holstein, M De-Arteaga, L Tumati, Y Cheng Proceedings of the ACM on Human-Computer Interaction 7 (CSCW1), 1-20, 2023 | 28 | 2023 |
| Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms T Neumann, M De-Arteaga, S Fazelpour ACM Conference on Fairness, Accountability, and Transparency, 2022 | 26 | 2022 |
| Author profiling using corpus statistics, lexicons and stylistic features M De-Arteaga, S Jimenez, G Duenas, S Mancera, J Baquero 10th PAN evaluation lab on uncovering plagiarism, authorship. and social …, 2013 | 24* | 2013 |
| A Critical Survey on Fairness Benefits of Explainable AI L Deck, J Schoeffer, M De-Arteaga, N Kühl The 2024 ACM Conference on Fairness, Accountability, and Transparency, 1579-1595, 2024 | 19* | 2024 |
| A case for humans-in-the-loop: Decisions in the presence of misestimated algorithmic scores R Fogliato, M De-Arteaga, A Chouldechova Available at SSRN, 2022 | 17 | 2022 |
| Same same, but different: Conditional multi-task learning for demographic-specific toxicity detection S Gupta, S Lee, M De-Arteaga, M Lease Proceedings of the ACM Web Conference 2023, 3689-3700, 2023 | 15 | 2023 |
| Self-fulfilling prophecies and machine learning in resuscitation science M De-Arteaga, J Elmer Resuscitation 183, 109622, 2023 | 14 | 2023 |
Alexandra ChouldechovaResearcher @ MSR NYC FATEmicrosoft.com의 이메일 확인됨