Manish Raghavan

Massachusetts Institute of Technology (MIT)

77 Massachusetts Avenue

50 Memorial Drive

Cambridge, MA 02139-4307

United States

SCHOLARLY PAPERS

5

DOWNLOADS
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2,206

SSRN CITATIONS
Rank 30,586

SSRN RANKINGS

Top 30,586

in Total Papers Citations

30

CROSSREF CITATIONS

5

Scholarly Papers (5)

1.

Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices

ACM Conference on Fairness, Accountability, and Transparency (FAT*), 2020
Number of pages: 24 Posted: 25 Jun 2019 Last Revised: 13 Dec 2019
Manish Raghavan, Solon Barocas, Jon Kleinberg and Karen Levy
Massachusetts Institute of Technology (MIT), Microsoft ResearchCornell University, Cornell University - Department of Computer Science and Cornell University
Downloads 1,190 (33,098)
Citation 32

Abstract:

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algorithmic bias, employment screening

2.

Hybrid Intelligence: A Paradigm for More Responsible Practice

Number of pages: 24 Posted: 27 Dec 2022
Stanford University - Center for Advanced Study in the Behavioral Sciences, University of California, San Diego, University of California, Los Angeles (UCLA) - Anderson School of Management, Northwestern University, Stanford Law School, University of Chicago - Booth School of Business, Stanford University, Stanford University - Center for Advanced Study in the Behavioral Sciences, Georgetown University - McDonough School of Business, Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology (MIT), Stanford University - Center for Advanced Study in the Behavioral Sciences, Stanford University - Center for Advanced Study in the Behavioral Sciences and Carnegie Mellon University
Downloads 434 (123,944)

Abstract:

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Hybrid Intelligence, AI Ethics, Human-Computer Interaction, Human-Centered Design

3.

Roles for Computing in Social Change

ACM Conference on Fairness, Accountability, and Transparency (FAT*), 2020
Number of pages: 9 Posted: 10 Jan 2020 Last Revised: 29 Jan 2020
Harvard University - Society of Fellows, Microsoft ResearchCornell University, Cornell University - Department of Computer Science, Cornell University, Massachusetts Institute of Technology (MIT) and Georgetown University Law CenterUpturn
Downloads 275 (203,759)
Citation 1

Abstract:

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social change, inequality, discrimination, societal implications of AI

4.

The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons

ACM Conference on Fairness, Accountability, and Transparency (FAT*), 2020
Number of pages: 17 Posted: 09 Jan 2020
Solon Barocas, Andrew D. Selbst and Manish Raghavan
Microsoft ResearchCornell University, UCLA School of Law and Massachusetts Institute of Technology (MIT)
Downloads 170 (319,822)

Abstract:

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interpretability, counterfactual explanation, principal reasons, accountability, autonomy

5.

Limitations of the 'Four-Fifths Rule' and Statistical Parity Tests for Measuring Fairness

8 GEO. L. TECH. REV. ___ (2023)
Number of pages: 45 Posted: 12 Dec 2023
Manish Raghavan and Pauline Kim
Massachusetts Institute of Technology (MIT) and Washington University in St. Louis - School of Law
Downloads 137 (381,742)

Abstract:

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four-fifths rule, algorithmic discrimination