Emanuel Moss

CUNY Graduate Center

New York, NY

United States

Data & Society Research Institute

36 West 20th Street

11th Floor

New York, , NY 10011

United States

SCHOLARLY PAPERS

5

DOWNLOADS
Rank 38,464

SSRN RANKINGS

Top 38,464

in Total Papers Downloads

1,788

SSRN CITATIONS

4

CROSSREF CITATIONS

0

Scholarly Papers (5)

1.

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 594 (64,547)
Citation 3

Abstract:

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algorithmic impact assessment, impact, harm, accountability, governance

2.

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 514 (77,594)
Citation 2

Abstract:

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

3.

Introducing a Practice-based Compliance Framework for Addressing New Regulatory Challenges in the AI Field

Sloane, Mona, and Emanuel Moss. 2022. “Introducing a Practice-Based Compliance Framework for Addressing New Regulatory Challenges in the AI Field.” TechReg Chronicle, March: 9.
Number of pages: 9 Posted: 06 Apr 2022
Mona Sloane, Emanuel Moss and Emanuel Moss
New York University (NYU) - New York University and Data & Society Research InstituteCUNY Graduate Center
Downloads 279 (153,387)

Abstract:

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Social Practice Theory, AI, Compliance, Regulation

4.

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 262 (164,088)
Citation 3

Abstract:

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

5.

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 139 (286,435)

Abstract:

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algorithmic impact assessment, impact, harm, accountability, governance