Author Page for Elizabeth Anne Watkins

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 (64,236)

Citation 3

Abstract:

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

Emanuel Moss, Emanuel Moss, Elizabeth Anne Watkins, Elizabeth Anne Watkins, Jacob Metcalf and Madeleine Clare Elish

Data & Society Research InstituteCUNY Graduate Center, Princeton University Center for Information Technology PolicyData & Society Research Institute, Data & Society Research Institute and Google Inc.

Downloads 515 (77,469)

Citation 2

Abstract:

3.

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 270 (159,077)

Citation 3

Abstract:

4.

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 (285,643)

Abstract:

5.

The Four-Fifths Rule is Not Disparate Impact: A Woeful Tale of Epistemic Trespassing in Algorithmic Fairness

Parity Technologies, Inc., Technical Report P22-1, v0.3.0

Number of pages: 12 Posted: 24 Feb 2022 Last Revised: 04 Mar 2022

Elizabeth Anne Watkins, Elizabeth Anne Watkins, Michael McKenna and Jiahao Chen

Princeton University Center for Information Technology PolicyData & Society Research Institute, Senior Data Scientist and Parity

Downloads 70 (447,905)

Elizabeth Anne Watkins

Data & Society Research Institute

Research Analyst, Intelligence & Autonomy Initiative

Princeton University Center for Information Technology Policy

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Scholarly Papers (5)

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

Abstract:

Governing with Algorithmic Impact Assessments: Six Observations

Abstract:

Assembling Accountability: Algorithmic Impact Assessment for the Public Interest

Abstract:

Governing Algorithmic Systems with Impact Assessments: Six Observations

Abstract:

The Four-Fifths Rule is Not Disparate Impact: A Woeful Tale of Epistemic Trespassing in Algorithmic Fairness

Abstract: