Ranjit Singh

Data & Society

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SCHOLARLY PAPERS

3

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SSRN CITATIONS

3

CROSSREF CITATIONS

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Scholarly Papers (3)

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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
Jacob Metcalf, Emanuel Moss, Emanuel Moss, Elizabeth Anne Watkins, Elizabeth Anne Watkins, Ranjit Singh and Madeleine Clare Elish
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 598 (64,160)
Citation 3

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algorithmic impact assessment, impact, harm, accountability, governance

2.

Assembling Accountability: Algorithmic Impact Assessment for the Public Interest

Number of pages: 64 Posted: 08 Jul 2021
Emanuel Moss, Emanuel Moss, Elizabeth Anne Watkins, Elizabeth Anne Watkins, Ranjit Singh, Madeleine Clare Elish and Jacob Metcalf
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 266 (161,925)
Citation 3

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

3.

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
Elizabeth Anne Watkins, Elizabeth Anne Watkins, Emanuel Moss, Emanuel Moss, Jacob Metcalf, Ranjit Singh and Madeleine Clare Elish
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 140 (285,375)

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algorithmic impact assessment, impact, harm, accountability, governance