Ranjit Singh

Data & Society Research Institute

36 West 20th Street

11th Floor

New York,, NY 10011

United States

  • Data & Society Research Institute

SCHOLARLY PAPERS

5

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2,325

SSRN CITATIONS

10

CROSSREF CITATIONS

0

Scholarly Papers (5)

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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, Elizabeth Anne Watkins, Elizabeth Anne Watkins, Ranjit Singh and Madeleine Clare Elish
Data & Society Research Institute, Intel Labs, Princeton University Center for Information Technology PolicyData & Society Research Institute, Data & Society Research Institute and Google Inc.
Downloads 731 (61,117)
Citation 7

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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, Elizabeth Anne Watkins, Elizabeth Anne Watkins, Ranjit Singh, Madeleine Clare Elish and Jacob Metcalf
Intel Labs, Princeton University Center for Information Technology PolicyData & Society Research Institute, Data & Society Research Institute, Google Inc. and Data & Society Research Institute
Downloads 614 (76,378)
Citation 19

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

3.

A Primer on AI in/from the Majority World: An Empirical Site and a Standpoint

Number of pages: 44 Posted: 08 Sep 2022 Last Revised: 13 Sep 2022
Sareeta Amrute, Ranjit Singh and Rigoberto Lara Guzmán
Data & Society Research Institute, Data & Society Research Institute and Data & Society Research Institute
Downloads 525 (92,890)

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Majority world, global south, AI, feminist AI, decolonial AI, afro-modernities, caste, indigeneity, development, labor, migration, surveillance, extraction, colonialism, social protection, experimentation

4.

Parables of AI in/from the Majority World

Number of pages: 191 Posted: 09 Nov 2022 Last Revised: 07 Dec 2022
Ranjit Singh, Rigoberto Lara Guzmán and Patrick Davison
Data & Society Research Institute, Data & Society Research Institute and Data & Society Research Institute
Downloads 288 (182,874)

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Majority world, global south, AI, storytelling, lived experiences

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
Elizabeth Anne Watkins, Elizabeth Anne Watkins, Emanuel Moss, Jacob Metcalf, Ranjit Singh and Madeleine Clare Elish
Princeton University Center for Information Technology PolicyData & Society Research Institute, Intel Labs, Data & Society Research Institute, Data & Society Research Institute and Google Inc.
Downloads 167 (304,961)

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algorithmic impact assessment, impact, harm, accountability, governance