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Hanna Wallach

Microsoft Research New York City

641 Avenue of Americas

New York, NY 10011

United States

  • Microsoft Research New York City

SCHOLARLY PAPERS

6

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Top 18,605

in Total Papers Downloads

6,630

TOTAL CITATIONS

11

Scholarly Papers (6)

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1.

Exploring or Exploiting? Social and Ethical Implications of Autonomous Experimentation in AI

Workshop on Fairness, Accountability, and Transparency in Machine Learning, 2016
Number of pages: 4 Posted: 04 Oct 2016 Last Revised: 13 Oct 2016
Sarah Bird, Solon Barocas, Kate Crawford, Fernando Diaz and Hanna Wallach
Microsoft Corporation, Microsoft ResearchCornell University, AI Now Institute, Mila and Microsoft Research New York City
Downloads 4,586 (5,314)

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Autonomous Experimentation, Artificial Intelligence, Privacy, Ethics

2.

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research

Downloads 1,078 (53,108)
Citation 2

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research

Stanford Public Law Working Paper
Number of pages: 30 Posted: 13 Jun 2025 Last Revised: 31 Oct 2025
A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Kevin Klyman, Matthew Jagielski, Katja Filippova, Ken Liu, Alexandra Chouldechova, Jamie Hayes, Eleni Triantafillou, Peter Kairouz, Nicole Mitchell, Niloofar Mireshghallah, Abigail Jacobs, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Ilia Shumailov, Andreas Terzis, Solon Barocas, Jennifer Wortman Vaughan, Danah Boyd, Yejin Choi, Sanmi Koyejo, Fernando Delgado, Percy Liang, Daniel E. Ho, Pamela Samuelson, Yangsibo Huang, Hanna Wallach, Miles Brundage, Amy Cyphert, David Bau, Mark A. Lemley, Seth Neel, Nicolas Papernot and Katherine Lee
Yale University, Google DeepMind, Independent, affiliation not provided to SSRN, Google DeepMind, Google DeepMind, Stanford University, Carnegie Mellon University - H. John Heinz III School of Public Policy and Management, Google DeepMind, Google DeepMind, Google Research, Google Research, University of Washington - Paul G. Allen School of Computer Science & Engineering, University of Michigan at Ann Arbor, Cornell Law School, Cornell University - Cornell Tech NYC, Cornell University - Department of Computer Science, Google DeepMind, Google DeepMind, Microsoft ResearchCornell University, Microsoft Research New York City, Microsoft Research, University of Washington, Stanford University, Cornell University, Stanford University - Department of Computer Science, Stanford University, University of California, Berkeley - School of Law, Google Research, Microsoft Research New York City, Independent, West Virginia University - College of Law, Northeastern Univeristy, Stanford Law School, University of Pennsylvania - Statistics Department, University of Toronto and Cornell University - Department of Computer Science
Downloads 562 (122,393)

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machine learning, generative AI, copyright, privacy, safety, machine unlearning

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice

Yale Law & Economics Research Paper, Stanford Public Law Working Paper, WVU College of Law Research Paper No. 2025-004
Number of pages: 35 Posted: 06 Feb 2025 Last Revised: 14 Jun 2025
A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Matthew Jagielski, Katja Filippova, Ken Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Niloofar Mireshghallah, Ilia Shumailov, Eleni Triantafillou, Peter Kairouz, Nicole Mitchell, Percy Liang, Daniel E. Ho, Yejin Choi, Sanmi Koyejo, Fernando Delgado, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Solon Barocas, Amy Cyphert, Mark A. Lemley, Danah Boyd, Jennifer Wortman Vaughan, Miles Brundage, David Bau, Seth Neel, Abigail Jacobs, Andreas Terzis, Hanna Wallach, Nicolas Papernot and Katherine Lee
Yale University, Google DeepMind, Independent, Google DeepMind, Google DeepMind, Stanford University, Independent, Google DeepMind, Google Research, University of Washington - Paul G. Allen School of Computer Science & Engineering, Google DeepMind, Google DeepMind, Google Research, Google Research, Stanford University - Department of Computer Science, Stanford Law School, University of Washington, Stanford University, Cornell University, Cornell Law School, Cornell University - Cornell Tech NYC, Cornell University - Department of Computer Science, Microsoft ResearchCornell University, West Virginia University - College of Law, Stanford Law School, Microsoft Research, Microsoft Research New York City, Independent, Northeastern Univeristy, University of Pennsylvania - Statistics Department, University of Michigan at Ann Arbor, Google DeepMind, Microsoft Research New York City, University of Toronto and Cornell University - Department of Computer Science
Downloads 516 (140,772)
Citation 2

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machine unlearning, privacy, copyright, safety, Generative AI

3.

Stretching Human Laws to Apply to Machines: The Dangers of a 'Colorblind' Computer

Zach Harned & Hanna Wallach, Stretching Human Laws to Apply to Machines: The Dangers of a "Colorblind" Computer, 45 Fla. St. L. Rev. 617 (2020).
Number of pages: 32 Posted: 01 Dec 2019 Last Revised: 28 Oct 2020
Zach Harned and Hanna Wallach
Stanford Law School and Microsoft Research New York City
Downloads 388 (190,748)
Citation 2

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machine learning, Title VII, discrimination, anti-discrimination, artificial intelligence, civil rights, bias, automation, automated decision making

4.

A New Database for Inferring Public Policy Innovativeness and Diffusion Networks

Number of pages: 41 Posted: 15 Jul 2019
Frederick J. Boehmke, Mark Brockway, Bruce A. Desmarais, Jeffrey J. Harden, Scott LaCombe, Fridolin Linder and Hanna Wallach
University of Iowa - Department of Political Science, University of Notre Dame, College of Arts & Letters, Department of Political Science, Students, Pennsylvania State University, University of Colorado at Boulder - Department of Political Science, University of Iowa, New York University (NYU) - Social Media and Political Participation (SMaPP) Lab and Microsoft Research New York City
Downloads 250 (306,221)
Citation 3

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policy diffusion, policy innovation, latent networks

5.

Transparency by Conformity: A Field Experiment Evaluating Openness in Local Governments

Public Administration Review, Forthcoming
Number of pages: 32 Posted: 02 May 2016
Jim ben-Aaron, Matthew Denny, Bruce A. Desmarais and Hanna Wallach
University of Massachusetts, Pennsylvania State University, Pennsylvania State University and Microsoft Research New York City
Downloads 227 (336,244)
Citation 4

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Transparency, Public Records, Local Government, Field Experiment, Peer Effects

6.

Inference on the Effects of Observed Features in Latent Space Models for Networks

Number of pages: 18 Posted: 21 Jul 2016
Zachary Jones, Matthew Denny, Bruce A. Desmarais and Hanna Wallach
Pennsylvania State University, Pennsylvania State University, Pennsylvania State University and Microsoft Research New York City
Downloads 101 (684,672)

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