Madeleine Clare Elish

Data & Society Research Institute

Intelligence & Autonomy Initiative

36 West 20th Street

New York, NY

United States

University of Oxford - Oxford Internet Institute

1 St. Giles

University of Oxford

Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS

United Kingdom

SCHOLARLY PAPERS

5

DOWNLOADS

5,464

SSRN CITATIONS

2

CROSSREF CITATIONS

6

Scholarly Papers (5)

1.

Moral Crumple Zones: Cautionary Tales in Human-Robot Interaction (pre-print)

Engaging Science, Technology, and Society (pre-print)
Number of pages: 29 Posted: 03 Apr 2016 Last Revised: 15 Mar 2019
Madeleine Clare Elish
Data & Society Research Institute
Downloads 3,203 (3,595)
Citation 9

Abstract:

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HRI, ethics, driverless cars, human factors, automation, autonomy, human in the loop, HCI,autonomous vehicles, responsibility, machine learning, human factors, accidents, social perceptions of technology, self-driving cars, robots, human-in-the-loop, human-robot interaction

2.

Situating Methods in the Magic of Big Data and Artificial Intelligence

Communication Monographs, Forthcoming
Number of pages: 30 Posted: 21 Sep 2017
Madeleine Clare Elish and Danah Boyd
Data & Society Research Institute and Data & Society Research Institute
Downloads 1,843 (9,142)
Citation 1

Abstract:

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Methodology, Big Data, AI, Machine Learning, Epistemology, Ethnography

3.

Praise the Machine! Punish the Human! The Contradictory History of Accountability in Automated Aviation

Number of pages: 22 Posted: 26 Jan 2016 Last Revised: 12 Aug 2017
Madeleine Clare Elish and Tim Hwang
Data & Society Research Institute and Data & Society Research Institute
Downloads 282 (116,853)
Citation 2

Abstract:

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automation, algorithms, driverless cars, autonomous, autonomy, accountability, aviation, control

4.

The Stakes of Uncertainty: Developing and Integrating Machine Learning in Clinical Care

2018 EPIC Proceedings
Number of pages: 17 Posted: 01 Feb 2019
Madeleine Clare Elish
Data & Society Research Institute
Downloads 109 (267,365)

Abstract:

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AI, machine learning, deep learning, healthcare, sepsis, medicine, anthropology

5.

Governing with Algorithmic Impact Assessments: Six Observations

Number of pages: 13 Posted: 28 May 2020
Emanuel Moss, Elizabeth Anne Watkins, Jacob Metcalf and Madeleine Clare Elish
Data & Society Research Institute, Data & Society Research Institute, Data & Society Research Institute and Data & Society Research Institute
Downloads 27 (520,780)

Abstract:

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algorithmic impact assessment, algorithmic accountability, impact assessment, data ethics, algorithmic accountability, corporate governance