Madeleine Clare Elish

Google Inc.

1600 Amphitheatre Parkway

Second Floor

Mountain View, CA 94043

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

8

DOWNLOADS

9,860

SSRN CITATIONS
Rank 37,133

SSRN RANKINGS

Top 37,133

in Total Papers Citations

14

CROSSREF CITATIONS

7

Scholarly Papers (8)

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
Google Inc.
Downloads 5,578 (1,810)
Citation 12

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
Google Inc. and Data & Society Research Institute
Downloads 2,430 (7,477)
Citation 3

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

3.

Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts

Jacob Metcalf, Emanuel Moss, Elizabeth Anne Watkins, Ranjit Singh, and MadeleineClare Elish. 2021. Algorithmic Impact Assessments and Accountability: TheCo-construction of Impacts. InACM Conference on Fairness, Accountability,and Transparency (FAccT ’21), March 3–10, 2021, Virtual Event, Canada.ACM,
Number of pages: 19 Posted: 12 Feb 2021
Data & Society Research Institute, Data & Society Research InstituteCUNY Graduate Center, Princeton University Center for Information Technology PolicyData & Society Research Institute, Data & Society and Google Inc.
Downloads 526 (69,503)
Citation 3

Abstract:

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algorithmic impact assessment, impact, harm, accountability, governance

4.

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
Google Inc. and Data & Society Research Institute
Downloads 462 (81,403)
Citation 7

Abstract:

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

5.

Governing with Algorithmic Impact Assessments: Six Observations

Watkins, Elizabeth and Moss, Emanuel and Metcalf, Jacob and Singh, Ranjit and Elish, Madeleine Clare, Governing Algorithmic Systems with Impact Assessments: Six Observations (May 14, 2021). AAAI / ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), Available at SSRN: https://ssrn.
Number of pages: 13 Posted: 28 May 2020 Last Revised: 14 May 2021
Data & Society Research InstituteCUNY Graduate Center, Princeton University Center for Information Technology PolicyData & Society Research Institute, Data & Society Research Institute and Google Inc.
Downloads 414 (92,476)
Citation 2

Abstract:

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

6.

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
Google Inc.
Downloads 254 (157,013)

Abstract:

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

7.

Governing Algorithmic Systems with Impact Assessments: Six Observations

AAAI / ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2021
Number of pages: 12 Posted: 18 May 2021
Princeton University Center for Information Technology PolicyData & Society Research Institute, Data & Society Research InstituteCUNY Graduate Center, Data & Society Research Institute, Data & Society and Google Inc.
Downloads 109 (320,037)

Abstract:

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algorithmic impact assessment, impact, harm, accountability, governance

8.

Assembling Accountability: Algorithmic Impact Assessment for the Public Interest

Number of pages: 64 Posted: 08 Jul 2021
Data & Society Research InstituteCUNY Graduate Center, Princeton University Center for Information Technology PolicyData & Society Research Institute, Data & Society, Google Inc. and Data & Society Research Institute
Downloads 87 (370,150)

Abstract:

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accountability, impact assessment, algorithms, artificial intelligence, governance, policy