Imagen de Portada

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

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cooper, A. Feder, Grimmelmann, James
Formato:	Preprint
Publicado:	2024
Materias:	Computers and Society
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain
por: Lee, Katherine, et al.
Publicado: (2023)

Rescuing Counterspeech: A Bridging-Based Approach to Combating Misinformation
por: Peng, Kenny, et al.
Publicado: (2024)

Between Randomness and Arbitrariness: Some Lessons for Reliable Machine Learning at Scale
por: Cooper, A. Feder
Publicado: (2024)

Between Copyright and Computer Science: The Law and Ethics of Generative AI
por: Desai, Deven R., et al.
Publicado: (2024)

Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
por: Cooper, A. Feder, et al.
Publicado: (2023)

We Should Separate Memorization from Copyright
por: Haviv, Adi, et al.
Publicado: (2026)

Non-Determinism and the Lawlessness of Machine Learning Code
por: Cooper, A. Feder, et al.
Publicado: (2022)

Generative AI Training and Copyright Law
por: Stober, Sebastian, et al.
Publicado: (2025)

Probabilistic Analysis of Copyright Disputes and Generative AI Safety
por: Chiba-Okabe, Hiroaki
Publicado: (2024)

Mutual Benefit: The Case for Sharing Autonomous Vehicle Data with the Public
por: Goedicke, David, et al.
Publicado: (2024)

A Shared Standard for Valid Measurement of Generative AI Systems' Capabilities, Risks, and Impacts
por: Chouldechova, Alexandra, et al.
Publicado: (2024)

The Author Is Sovereign: A Manifesto for Ethical Copyright in the Age of AI
por: Fitas, Ricardo
Publicado: (2025)

Public Opinions About Copyright for AI-Generated Art: The Role of Egocentricity, Competition, and Experience
por: Lima, Gabriel, et al.
Publicado: (2024)

Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI
por: Amon, Archer, et al.
Publicado: (2024)

Safer Prompts: Reducing Risks from Memorization in Visual Generative AI
por: Reissinger, Lena, et al.
Publicado: (2025)

Unfair Learning: GenAI Exceptionalism and Copyright Law
por: Atkinson, David
Publicado: (2025)

Copyright Laundering Through the AI Ouroboros: Adapting the 'Fruit of the Poisonous Tree' Doctrine to Recursive AI Training
por: Mukherjee, Anirban, et al.
Publicado: (2026)

Red Teaming for Generative AI, Report on a Copyright-Focused Exercise Completed in an Academic Medical Center
por: Wen, James, et al.
Publicado: (2025)

Copyright in Generative Deep Learning
por: Franceschelli, Giorgio, et al.
Publicado: (2021)

Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective
por: Zhang, Dawen, et al.
Publicado: (2023)

Private Hierarchical Governance for Encrypted Messaging
por: Namavari, Armin, et al.
Publicado: (2024)

Fluid Agency in AI Systems: A Case for Functional Equivalence in Copyright, Patent, and Tort
por: Mukherjee, Anirban, et al.
Publicado: (2026)

Evaluating Generative AI Systems is a Social Science Measurement Challenge
por: Wallach, Hanna, et al.
Publicado: (2024)

Translators as Invisible Teachers of AI: Copyright, Translation Memory, and the Political Economy of Linguistic Data
por: Yamada, Masaru
Publicado: (2026)

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge
por: Wallach, Hanna, et al.
Publicado: (2025)

Copyright in AI-generated works: Lessons from recent developments in patent law
por: Matulionyte, Rita, et al.
Publicado: (2025)

Copyright in AI Pre-Training Data Filtering: Regulatory Landscape and Mitigation Strategies
por: Kyrychenko, Mariia, et al.
Publicado: (2025)

The end of multiple choice tests: using AI to enhance assessment
por: Klymkowsky, Michael, et al.
Publicado: (2024)

Tripartite Perspective on the Copyright-Sharing Economy in China
por: Lee, Jyh-An
Publicado: (2025)

Analysis of Generative AI Policies in Computing Course Syllabi
por: Ali, Areej, et al.
Publicado: (2024)

Readers Prefer Outputs of AI Trained on Copyrighted Books over Expert Human Writers
por: Chakrabarty, Tuhin, et al.
Publicado: (2025)

SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation
por: Liu, Xiaoze, et al.
Publicado: (2024)

Filtering for Copyright Enforcement in Europe after the Sabam cases
por: Kulk, Stefan, et al.
Publicado: (2026)

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
por: Cooper, A. Feder, et al.
Publicado: (2024)

Is Your AI Truly Yours? Leveraging Blockchain for Copyrights, Provenance, and Lineage
por: Wang, Qin, et al.
Publicado: (2024)

Operationalizing Ethics for AI Agents: How Developers Encode Values into Repository Context Files
por: Treude, Christoph, et al.
Publicado: (2026)

When Can Memorization Improve Fairness?
por: Pepin, Bob, et al.
Publicado: (2024)

Fantastic Copyrighted Beasts and How (Not) to Generate Them
por: He, Luxi, et al.
Publicado: (2024)

How AI Generates Creativity from Inauthenticity
por: Brusseau, James, et al.
Publicado: (2025)

Navigating the Ethical and Societal Impacts of Generative AI in Higher Computing Education
por: Mak, Janice, et al.
Publicado: (2025)