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M C Elish

Biographic Data

ID2817691
NAMEM C Elish
GIVEN NAMESM C
FAMILY NAMEElish
SIGNATUREELISH M C
AFFILIATIONSData & Society Research Institute
ORCID0000-0002-9647-1178
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS104
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2019
H-INDEX3
  • Moral Crumple Zones

    Open Access•M C Elish•ARTICLE•Engaging Science Technology and…•2019

    As debates about the policy and ethical implications of AI systems grow, it will be increasingly important to accurately locate who is responsible when agency is distributed in a system and control over an action is mediated through time and space. Analyzing several high-profile accidents involving complex and automated socio-technical systems and the media coverage that surrounded them, I introduce the concept of a moral crumple zone to describe…

  • The Stakes of Uncertainty

    Open Access•M C Elish•ARTICLE•Ethnographic Praxis in Industry…•2018•Cited by: 8•References: 29

    The wide-spread deployment of machine learning tools within healthcare is on the horizon. However, the hype around "AI" tends to divert attention toward the spectacular, and away from the more mundane and ground-level aspects of new technologies that shape technological adoption and integration. This paper examines the development of a machine learning-driven sepsis risk detection tool in a hospital Emergency Department in order to interrogate th…

  • Situating methods in the magic of Big Data and AI

    M C Elish, Drick Boyd et al.•ARTICLE•Communication Monographs•2017•Cited by: 84•References: 17

    Big Data" and "artificial intelligence" have captured the public imagination and are profoundly shaping social, economic, and political spheres. Through an interrogation of the histories, perceptions, and practices that shape these technologies, we problematize the myths that animate the supposed "magic" of these systems. In the face of an increasingly widespread blind faith in data-driven technologies, we argue for grounding machine learning-bas…

  • Remote Split

    Open Access•M C Elish•ARTICLE•Science Technology & Human Values•2017•Cited by: 12•References: 37

    This article analyzes US drone operations through a historical and ethnographic analysis of the remote split paradigm used by the US Air Force. Remote split refers to the globally distributed command and control of drone operations and entails a network of human operators and analysts in the Middle East, Europe, and Southeast Asia as well as in the continental United States. Though often viewed as a teleological progression of "unmanned" warfare,…

  • Situating methods in the magic of Big Data and AI

    M C Elish, Drick Boyd et al.•ARTICLE•Communication Monographs•2017•Cited by: 84•References: 17

    Big Data" and "artificial intelligence" have captured the public imagination and are profoundly shaping social, economic, and political spheres. Through an interrogation of the histories, perceptions, and practices that shape these technologies, we problematize the myths that animate the supposed "magic" of these systems. In the face of an increasingly widespread blind faith in data-driven technologies, we argue for grounding machine learning-bas…

  • Remote Split

    Open Access•M C Elish•ARTICLE•Science Technology & Human Values•2017•Cited by: 12•References: 37

    This article analyzes US drone operations through a historical and ethnographic analysis of the remote split paradigm used by the US Air Force. Remote split refers to the globally distributed command and control of drone operations and entails a network of human operators and analysts in the Middle East, Europe, and Southeast Asia as well as in the continental United States. Though often viewed as a teleological progression of "unmanned" warfare,…

  • The Stakes of Uncertainty

    Open Access•M C Elish•ARTICLE•Ethnographic Praxis in Industry…•2018•Cited by: 8•References: 29

    The wide-spread deployment of machine learning tools within healthcare is on the horizon. However, the hype around "AI" tends to divert attention toward the spectacular, and away from the more mundane and ground-level aspects of new technologies that shape technological adoption and integration. This paper examines the development of a machine learning-driven sepsis risk detection tool in a hospital Emergency Department in order to interrogate th…

  • Situating methods in the magic of Big Data and AI

    M C Elish, Drick Boyd et al.•ARTICLE•Communication Monographs•2017•Cited by: 84•References: 17

    Big Data" and "artificial intelligence" have captured the public imagination and are profoundly shaping social, economic, and political spheres. Through an interrogation of the histories, perceptions, and practices that shape these technologies, we problematize the myths that animate the supposed "magic" of these systems. In the face of an increasingly widespread blind faith in data-driven technologies, we argue for grounding machine learning-bas…

  • Remote Split

    Open Access•M C Elish•ARTICLE•Science Technology & Human Values•2017•Cited by: 12•References: 37

    This article analyzes US drone operations through a historical and ethnographic analysis of the remote split paradigm used by the US Air Force. Remote split refers to the globally distributed command and control of drone operations and entails a network of human operators and analysts in the Middle East, Europe, and Southeast Asia as well as in the continental United States. Though often viewed as a teleological progression of "unmanned" warfare,…

  • The Stakes of Uncertainty

    Open Access•M C Elish•ARTICLE•Ethnographic Praxis in Industry…•2018•Cited by: 8•References: 29

    The wide-spread deployment of machine learning tools within healthcare is on the horizon. However, the hype around "AI" tends to divert attention toward the spectacular, and away from the more mundane and ground-level aspects of new technologies that shape technological adoption and integration. This paper examines the development of a machine learning-driven sepsis risk detection tool in a hospital Emergency Department in order to interrogate th…

  • Moral Crumple Zones

    Open Access•M C Elish•ARTICLE•Engaging Science Technology and…•2019

    As debates about the policy and ethical implications of AI systems grow, it will be increasingly important to accurately locate who is responsible when agency is distributed in a system and control over an action is mediated through time and space. Analyzing several high-profile accidents involving complex and automated socio-technical systems and the media coverage that surrounded them, I introduce the concept of a moral crumple zone to describe…

Computer Science (3 works) · Political science (3 works) · Sociology (3 works) · Artificial Intelligence (2 works) · Business (2 works) · Computer security (2 works) · Engineering (2 works) · Ethics and Social Impacts of AI (2 works) · Ethnography (2 works) · Law (2 works)

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