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24

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

9 December 2024 by A. Feder Cooper and others

Machine Learning, Artificial Intelligence

A Shared Standard for Valid Measurement of Generative AI Systems' Capabilities, Risks, and Impacts

2 December 2024 by Alexandra Chouldechova and others

Computers and Society

Evaluating Generative AI Systems is a Social Science Measurement Challenge

17 November 2024 by Hanna Wallach and others

Computers and Society

The Files are in the Computer: Copyright, Memorization, and Generative AI

11 November 2024 by A. Feder Cooper and James Grimmelmann

Computers and Society

Non-Determinism and the Lawlessness of Machine Learning Code

14 August 2024 by A. Feder Cooper and others

Computers and Society, Machine Learning

Between Randomness and Arbitrariness: Some Lessons for Reliable Machine Learning at Scale

12 August 2024 by A. Feder Cooper

Machine Learning, Artificial Intelligence

Stealing Part of a Production Language Model

2

9 July 2024 by Nicholas Carlini and others at

University of Washington

Cryptography and Security

Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification

6 March 2024 by A. Feder Cooper and others at

Cornell University

Machine Learning, Artificial Intelligence

Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain

1 March 2024 by Katherine Lee and others

Computers and Society

On the Standardization of Behavioral Use Clauses and Their Adoption for Responsible Licensing of AI

7 February 2024 by Daniel Mcduff and others

Software Engineering, Artificial Intelligence

CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images

1 January 2024 by Aaron Gokaslan and others

Computer Vision and Pattern Recognition, Artificial Intelligence

Coordinating Distributed Example Orders for Provably Accelerated Training

21 December 2023 by A. Feder Cooper and others

Machine Learning, Distributed, Parallel, and Cluster Computing

Repairing Regressors for Fair Binary Classification at Any Decision Threshold

10 December 2023 by Kweku Kwegyir-Aggrey and others

Machine Learning, Computers and Society

Report of the 1st Workshop on Generative AI and Law

3 December 2023 by A. Feder Cooper and others at

University of Washington

Computers and Society

Scalable Extraction of Training Data from (Production) Language Models

1

28 November 2023 by Milad Nasr and others at

University of Washington

Machine Learning, Computation and Language

CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images

25 October 2023 by Aaron Gokaslan and others

Computer Vision and Pattern Recognition, Computers and Society

Fast or Accurate? Governing Conflicting Goals in Highly Autonomous Vehicles

3 August 2022 by A. Feder Cooper and Karen Levy

Computers and Society

Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects

14 June 2022 by Benjamin Laufer and others

Computers and Society, Digital Libraries

Making the Unaccountable Internet: The Changing Meaning of Accounting in the Design of the Early Internet

10 May 2022 by A. Feder Cooper and Gili Vidan

Computers and Society

Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning

23 February 2022 by A. Feder Cooper and others

Computers and Society, Artificial Intelligence

Tecnologica cosa: Modeling Storyteller Personalities in Boccaccio's Decameron

22 September 2021 by A. Feder Cooper and others

Computation and Language, Machine Learning

Model Selection's Disparate Impact in Real-World Deep Learning Applications

7 September 2021 by Jessica Zosa Forde and others

Machine Learning, Artificial Intelligence

Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research

28 April 2021 by A. Feder Cooper and Ellen Abrams

Computers and Society, Artificial Intelligence

Hyperparameter Optimization Is Deceiving Us, and How to Stop It

10 February 2021 by A. Feder Cooper and others

Machine Learning, Logic in Computer Science

Where Is the Normative Proof? Assumptions and Contradictions in ML Fairness Research

22 October 2020 by A. Feder Cooper

Computers and Society, Artificial Intelligence

Regulating Accuracy-Efficiency Trade-Offs in Distributed Machine Learning Systems

9 July 2020 by A. Feder Cooper and others

Computers and Society, Machine Learning

Asymptotically Optimal Exact Minibatch Metropolis-Hastings

23 June 2020 by Ruqi Zhang and others

Machine Learning

AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC

29 February 2020 by Ruqi Zhang and others

Machine Learning

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Machine Learning Computers and Society Artificial Intelligence Cryptography and Security Computer Vision and Pattern Recognition Computation and Language Software Engineering Distributed, Parallel, and Cluster Computing Optimization and Control Digital Libraries Social and Information Networks Logic in Computer Science