Copyleft for Alleviating AIGC Copyright Dilemma: What-if Analysis, Public Perception and Implications
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Abstract (arXiv)
As AIGC has impacted our society profoundly in the past years, ethical issues have received tremendous attention. The most urgent one is the AIGC copyright dilemma, which can immensely stifle the development of AIGC and greatly cost the entire society. Given the complexity of AIGC copyright governance and the fact that no perfect solution currently exists, previous work advocated copyleft on AI governance but without substantive analysis. In this paper, we take a step further to explore the feasibility of copyleft to alleviate the AIGC copyright dilemma. We conduct a mixed-methods study from two aspects: qualitatively, we use a formal what-if analysis to clarify the dilemma and provide case studies to show the feasibility of copyleft; quantitatively, we perform a carefully designed survey to find out how the public feels about copylefting AIGC. The key findings include: a) people generally perceive the dilemma, b) they prefer to use authorized AIGC under loose restriction, and c) they are positive to copyleft in AIGC and willing to use it in the future.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 12 of its 33 references that are in the map. First posted on arXiv 19 Feb 2024.
Builds on
12 of 33 references.
References · 12
- 2019Energy and Policy Considerations for Deep Learning in NLPcited by 1,242
- 2023A Watermark for Large Language Modelscited by 667
- 2023The Stable Signature: Rooting Watermarks in Latent Diffusion Modelscited by 289
- 2023A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPTcited by 221
- 2023EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protectioncited by 109
- 2020The Cost of Training NLP Models: A Concise Overviewcited by 97
- 2023A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?cited by 84
- 2020Behavioral Use Licensing for Responsible AIcited by 46
- 2023A Pathway Towards Responsible AI Generated Contentcited by 38
- 2023Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyondcited by 14
- 2023Blockchain-Empowered Lifecycle Management for AI-Generated Content (AIGC) Products in Edge Networkscited by 6
- 2023Privacy and Copyright Protection in Generative AI: A Lifecycle Perspectivecited by 6
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Citing papers per year: 2024: 1.
1 paper.