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Cooper, A. Feder
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1

Talkin' 'Bout AI Generation: Copyright and the Generative-A..:

Lee, Katherine ; Cooper, A. Feder ; Grimmelmann, James
3rd ACM Symposium on Computer Science and Law 48 (2024).  , 2024
Link: https://ssrn.com/abstrac..
 
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2

Talkin' 'Bout AI Generation : Copyright and the Generati..:

, In: Proceedings of the Symposium on Computer Science and Law,
Lee, Katherine ; Cooper, A. Feder ; Grimmelmann, James - p. 48-63 , 2024
Link: https://dl.acm.org/doi/1..
 
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3

Making the Unaccountable Internet: The Changing Meaning of ..:

, In: 2022 ACM Conference on Fairness, Accountability, and Transparency,
Cooper, A. Feder ; Vidan, Gili - p. 726-742 , 2022
Link: https://dl.acm.org/doi/1..
 
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4

Fast or Accurate? Governing Conflicting Goals in Highly Aut..:

Cooper, A. Feder ; Levy, Karen
20 Colorado Technology Law Journal 249 (2022).  , 2022
Link: https://ssrn.com/abstrac..
 
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5

Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of..:

, In: 2022 ACM Conference on Fairness, Accountability, and Transparency,
Laufer, Benjamin ; Jain, Sameer ; Cooper, A. Feder.. - p. 401-426 , 2022
Link: https://dl.acm.org/doi/1..
 
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6

Non-Determinism and the Lawlessness of Machine Learning Cod:

, In: Proceedings of the 2022 Symposium on Computer Science and Law,
Cooper, A. Feder ; Frankle, Jonathan ; De Sa, Christopher - p. 1-8 , 2022
Link: https://dl.acm.org/doi/1..
 
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7

Accountability in an Algorithmic Society: Relationality, Re..:

, In: 2022 ACM Conference on Fairness, Accountability, and Transparency,
Cooper, A. Feder ; Moss, Emanuel ; Laufer, Benjamin. - p. 864-876 , 2022
Link: https://dl.acm.org/doi/1..
 
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8

Accuracy-Efficiency Trade-Offs and Accountability in Distri..:

, In: Equity and Access in Algorithms, Mechanisms, and Optimization,
Cooper, A. Feder ; Levy, Karen ; De Sa, Christopher - p. 1-11 , 2021
Link: https://dl.acm.org/doi/1..
 
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9

Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-..:

, In: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society,
Cooper, A. Feder ; Abrams, Ellen ; NA, NA - p. 46-54 , 2021
Link: https://dl.acm.org/doi/1..
 
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10

Coordinating Distributed Example Orders for Provably Accele..:

Cooper, A. Feder ; Guo, Wentao ; Pham, Khiem...
http://arxiv.org/abs/2302.00845.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

Arbitrariness and Prediction: The Confounding Role of Varia..:

Cooper, A. Feder ; Lee, Katherine ; Choksi, Madiha...
http://arxiv.org/abs/2301.11562.  , 2023
Link: http://arxiv.org/abs/230..
 
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12

Scalable Extraction of Training Data from (Production) Lang..:

Nasr, Milad ; Carlini, Nicholas ; Hayase, Jonathan...
http://arxiv.org/abs/2311.17035.  , 2023
Link: http://arxiv.org/abs/231..
 
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13

Report of the 1st Workshop on Generative AI and Law:

Cooper, A. Feder ; Lee, Katherine ; Grimmelmann, James...
http://arxiv.org/abs/2311.06477.  , 2023
Link: http://arxiv.org/abs/231..
 
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14

Talkin' 'Bout AI Generation: Copyright and the Generative-A..:

Lee, Katherine ; Cooper, A. Feder ; Grimmelmann, James
http://arxiv.org/abs/2309.08133.  , 2023
Link: http://arxiv.org/abs/230..
 
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15

CommonCanvas: An Open Diffusion Model Trained with Creative..:

Gokaslan, Aaron ; Cooper, A. Feder ; Collins, Jasmine...
http://arxiv.org/abs/2310.16825.  , 2023
Link: http://arxiv.org/abs/231..
 
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