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相关论文: Copyright in AI-generated works: Lessons from rece…

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Machine-generated artworks are now part of the contemporary art scene: they are attracting significant investments and they are presented in exhibitions together with those created by human artists. These artworks are mainly based on…

计算机与社会 · 计算机科学 2025-02-14 Giorgio Franceschelli , Mirco Musolesi

"Does generative AI infringe copyright?" is an urgent question. It is also a difficult question, for two reasons. First, "generative AI" is not just one product from one company. It is a catch-all name for a massive ecosystem of loosely…

计算机与社会 · 计算机科学 2024-03-05 Katherine Lee , A. Feder Cooper , James Grimmelmann

This paper examines how the rapid deployment of multi-agentic AI systems is reshaping the foundations of copyright law and creative markets. It argues that existing copyright frameworks are ill-equipped to govern AI agent-mediated…

人工智能 · 计算机科学 2026-04-10 Paulius Jurcys , Mark Fenwick

Machine learning generated content such as image artworks, textual poems and music become prominent in recent years. These tools attract much attention from the media, artists, researchers, and investors. Because these tools are…

计算机与社会 · 计算机科学 2021-12-03 Omri Avrahami , Bar Tamir

This document posits that, at best, a tenuous case can be made for providing AI exclusive IP over their "inventions". Furthermore, IP protections for AI are unlikely to confer the benefit of ensuring regulatory compliance. Rather, IP…

计算机与社会 · 计算机科学 2020-08-12 Allison Cohen , Abhishek Gupta

Generative AI tools are used to create art-like outputs and sometimes aid in the creative process. These tools have potential benefits for artists, but they also have the potential to harm the art workforce and infringe upon artistic and…

计算机与社会 · 计算机科学 2024-10-02 Juniper Lovato , Julia Zimmerman , Isabelle Smith , Peter Dodds , Jennifer Karson

Large Generative AI (GAI) models have the unparalleled ability to generate text, images, audio, and other forms of media that are increasingly indistinguishable from human-generated content. As these models often train on publicly available…

计算机与社会 · 计算机科学 2024-06-25 Tanja Šarčević , Alicja Karlowicz , Rudolf Mayer , Ricardo Baeza-Yates , Andreas Rauber

The widespread adoption of generative artificial intelligence (GenAI) tools in higher education has fundamentally altered the conditions under which academic work is produced, challenging long-standing assumptions about authorship,…

计算机与社会 · 计算机科学 2026-04-07 David M. Pereira

Artificial Intelligence (AI), and in particular generative models, are transformative tools for knowledge work. They problematise notions of creativity, originality, plagiarism, the attribution of credit, and copyright ownership. Critics of…

人机交互 · 计算机科学 2023-07-21 Advait Sarkar

The rapid advancement of general-purpose AI models has increased concerns about copyright infringement in training data, yet current regulatory frameworks remain predominantly reactive rather than proactive. This paper examines the…

计算机与社会 · 计算机科学 2026-01-21 Mariia Kyrychenko , Mykyta Mudryi , Markiyan Chaklosh

Creativity has always been synonymous with humans. No other living species could boast of creativity as humans could. Even the smartest computers thrived only on the ingenious imaginations of its coders. However, that is steadily changing…

计算机与社会 · 计算机科学 2020-10-02 Raj Shekhar

The rapid advancement of general-purpose AI models has increased concerns about copyright infringement in training data, yet current regulatory frameworks remain predominantly reactive rather than proactive. This paper examines the…

计算机与社会 · 计算机科学 2026-01-21 Mariia Kyrychenko , Mykyta Mudryi , Markiyan Chaklosh

This paper challenges the argument that generative artificial intelligence (GenAI) is entitled to broad immunity from copyright law for reproducing copyrighted works without authorization due to a fair use defense. It examines fair use…

计算机与社会 · 计算机科学 2025-10-20 David Atkinson

This paper summarizes the current copyright related risks that Machine Learning (ML) and Artificial Intelligence (AI) systems (including Large Language Models --LLMs) incur. These risks affect different stakeholders: owners of the copyright…

软件工程 · 计算机科学 2024-05-06 Daniel M. German

With the escalating proliferation of artificial intelligence technologies, AI-generated content (AIGC) has progressively permeated across diverse domains. However, this explosive application has also sparked widespread public discussion…

计算机与社会 · 计算机科学 2026-04-09 Jiajia Jiang , Moting Su , Fengshu Li , Xiangli Xiao , Yushu Zhang

The rapid progress of generative AI technology has sparked significant copyright concerns, leading to numerous lawsuits filed against AI developers. Notably, generative AI's capacity for generating images of copyrighted characters has been…

机器学习 · 计算机科学 2025-04-01 Hiroaki Chiba-Okabe , Weijie J. Su

Generative AI (GenAI) outputs are not copyrightable. This article argues why. We bypass conventional doctrinal analysis that focuses on black letter law notions of originality and authorship to re-evaluate copyright's foundational…

计算机与社会 · 计算机科学 2025-12-17 Ezieddin Elmahjub

The emerging field of AI-generated art has witnessed the rise of prompt marketplaces, where creators can purchase, sell, or share prompts for generating unique artworks. These marketplaces often assert ownership over prompts, claiming them…

人机交互 · 计算机科学 2024-10-14 Khoi Trinh , Joseph Spracklen , Raveen Wijewickrama , Bimal Viswanath , Murtuza Jadliwala , Anindya Maiti

In an age of fast-paced technological change, patents have evolved into not only legal mechanisms of intellectual property, but also structured storage containers of knowledge full of metadata, categories, and formal innovation. This…

数字图书馆 · 计算机科学 2025-08-05 M. S. Rajeevan , B. Mini Devi

Creativity is the ability to produce novel, useful, and surprising ideas, and has been widely studied as a crucial aspect of human cognition. Machine creativity on the other hand has been a long-standing challenge. With the rise of advanced…

人工智能 · 计算机科学 2025-07-01 Mete Ismayilzada , Debjit Paul , Antoine Bosselut , Lonneke van der Plas