| Situating methods in the magic of Big Data and AI MC Elish, D Boyd Communication monographs 85 (1), 57-80, 2018 | 417 | 2018 |
| Moral crumple zones: Cautionary tales in human-robot interaction (pre-print) MC Elish Engaging Science, Technology, and Society (pre-print), 2019 | 264 | 2019 |
| " The human body is a black box" supporting clinical decision-making with deep learning M Sendak, MC Elish, M Gao, J Futoma, W Ratliff, M Nichols, A Bedoya, ... Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 168 | 2020 |
| Algorithmic impact assessments and accountability: The co-construction of impacts J Metcalf, E Moss, EA Watkins, R Singh, MC Elish Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021 | 131 | 2021 |
| Power to the people? Opportunities and challenges for participatory AI A Birhane, W Isaac, V Prabhakaran, M Diaz, MC Elish, I Gabriel, ... Proceedings of the 2nd ACM Conference on Equity and Access in Algorithms …, 2022 | 113 | 2022 |
| Real-world integration of a sepsis deep learning technology into routine clinical care: implementation study MP Sendak, W Ratliff, D Sarro, E Alderton, J Futoma, M Gao, M Nichols, ... JMIR medical informatics 8 (7), e15182, 2020 | 107 | 2020 |
| AI in context: the labor of integrating new technologies A Mateescu, M Elish Data & Society Research Institute, 2019 | 75 | 2019 |
| Assembling accountability: algorithmic impact assessment for the public interest E Moss, EA Watkins, R Singh, MC Elish, J Metcalf Available at SSRN 3877437, 2021 | 68 | 2021 |
| Repairing innovation: A study of integrating AI in clinical care EA Watkins Data & Society, 2020 | 59 | 2020 |
| The AI now report: the social and economic implications of artificial intelligence technologies in the near-term K Crawford, M Whittaker, MC Elish, S Barocas, A Plasek, K Ferryman White House and New York University’s Information Law Institute, 2016 | 59 | 2016 |
| The AI now report K Crawford, M Whittaker, MC Elish, S Barocas, A Plasek, K Ferryman The Social and Economic Implications of Artificial Intelligence Technologies …, 2016 | 59 | 2016 |
| The stakes of uncertainty: developing and integrating machine learning in clinical care MC Elish Ethnographic Praxis in Industry Conference Proceedings 2018 (1), 364-380, 2018 | 49 | 2018 |
| Remote split: A history of US drone operations and the distributed labor of war MC Elish Science, Technology, & Human Values 42 (6), 1100-1131, 2017 | 35 | 2017 |
| Praise the machine! Punish the human! The contradictory history of accountability in automated aviation MC Elish, T Hwang Punish the human, 2015 | 29 | 2015 |
| Governing with algorithmic impact assessments: six observations E Moss, EA Watkins, J Metcalf, MC Elish Watkins, Elizabeth and Moss, Emanuel and Metcalf, Jacob and Singh, Ranjit …, 2020 | 21 | 2020 |
| Moral crumple zones: Cautionary tales in human-robot interaction (We robot 2016) MC Elish SSRN Scholarly Paper ID 2757236, 2016 | 17 | 2016 |
| “This seems to work”: Designing technological systems with the algorithmic imaginations of those who labor L Cameron, A Christin, M Ann DeVito, T R. Dillahunt, M Elish, M Gray, ... Extended abstracts of the 2021 CHI conference on human factors in computing …, 2021 | 15 | 2021 |
| Responsible storytelling: communicating research in video demos MC Elish Proceedings of the fifth international conference on Tangible, embedded, and …, 2010 | 15 | 2010 |
| The mirage of the marketplace T Hwang, MC Elish Slate. Retrieved from http://www. slate. com/articles/technology …, 2015 | 11 | 2015 |
| The Social and Economic Implications of Artificial Intelligence Technologies in the Near-Term K Crawford, M Whittaker, MC Elish, S Barocas, A Plasek, K Ferryman AI Now Public Symposium, 2016 | 10 | 2016 |
Solon BarocasPrincipal Researcher, Microsoft Research; Adjunct Assistant Professor, Information Science, CornellVerified email at cornell.edu
