<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SSR</journal-id><journal-title-group><journal-title>Scientific and Social Research</journal-title></journal-title-group><issn>2661-4332</issn><eissn>2981-9946</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ssr.v8i9.15751</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Determination of Legal Liability for Infringement Caused by Generative AI‑Generated Content and Improvement of Supervision</title><url>https://artdesignp.com/journal/SSR/8/9/10.26689/ssr.v8i9.15751</url><author>HeShan</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>8</volume><issue>9</issue><history><date date-type="pub"><published-time>2026-10-21</published-time></date></history><abstract>With the rise of generative artificial intelligence represented by ChatGPT, DeepSeek, and other tools, the modes for creation and dissemination of publications, short video clips, musical works, and other content have been transformed. While bringing convenience to the public, such technologies also exert impacts on the traditional intellectual property rights legal system. Therefore, it is urgent to construct an intellectual property rights legal system adapted to the development of generative artificial intelligence, which is of great significance for boosting the development of new media, publishing, and film and television industries. This paper analyzes the jurisprudential basis for defining the legal liability of generative artificial intelligence, elaborates on the necessity of intellectual property rights legal protection for generative artificial intelligence, and explores optimized supervision paths for content infringement cases triggered by generative AI. Elaborated from four dimensions: promoting the improvement of laws in specific fields, establishing classified liability determination rules, advancing the optimization and reconstruction of the legal regulation system, and strengthening popular science publicity of intellectual property rights, this paper provides references for improving intellectual property rights protection for content generated by generative artificial intelligence.</abstract><keywords>Generative artificial intelligence, Content infringement, Intellectual property rights protection, Liability determination, Improvement path</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Song JB, 2025, Legal Qualification of Large Model Data Training of Generative Artificial Intelligence Under Copyright Law. Digital Rule of Law, 2025(6): 39&amp;ndash;49.
[2] Liu YH, Gao ZR, 2025, Rethinking Copyright Liability Determination for Generative AI Service Providers &amp;mdash; Based on the Shift From &amp;ldquo;Algorithm Recommendation&amp;rdquo; to &amp;ldquo;AI Generation.&amp;rdquo; Digital Rule of Law, 2025(6): 123&amp;ndash;139.
[3] Xu GQ, Huang PC, 2025, Dilemmas and Solutions for Qualified Subject Determination in Copyright Disputes Over Generative Artificial Intelligence. Legal Vision, 2025(35): 49&amp;ndash;51.
[4] Mu XM, Li JL, 2025, Dilemmas and Countermeasures for Personal Information Protection in Generative Artificial Intelligence. Culture Journal, 2025(12): 151&amp;ndash;154.
[5] Wang P, 2025, Research on Copyright Duty of Care of Generative AI Service Providers. Henan Science &amp;amp; Technology, 52(23): 121&amp;ndash;127.
[6] Yang RQ, 2025, Legal Responses to Copyrightability of AI‑Generated Works: Qualification Difficulties, Copyright Acquisition and Public‑Oriented Countermeasures. Journal of Beijing Jiaotong University (Social Sciences Edition), 24(4): 138&amp;ndash;147.
[7] Wang G, 2025, Path Optimization and Institutional Development of Copyright Governance for Generative Artificial Intelligence &amp;mdash; Centered on User Behaviors. Editor&amp;rsquo;s Friend, 2025(12): 83&amp;ndash;90.
[8] Yao ZW, 2025, Infringement Exemption System for Generative AI Search Service Providers. Global Law Review, 47(6): 53&amp;ndash;68.
[9] Chen XD, 2025, Criminal Imputation Path for the Crime of Copyright Infringement Committed by Generative AI Users. Jiangsu Social Sciences, 2025(6): 173&amp;ndash;181.
[10] Chen JY, 2025, Discussion on Media Ethics Issues of Copyright Infringement by Generative Artificial Intelligence &amp;mdash; Taking the Xiaohongshu Trik‑AI Infringement Case as an Example. Media Forum, 2025(22): 122&amp;ndash;124.
[11] Zhang YN, Xu R, 2025, Strategy Construction for Public Security Organs to Cope with Intellectual Property Rights Crimes of Generative Artificial Intelligence. Journal of Beijing Police College, 2025(3): 101&amp;ndash;108.
[12] Liu JC, 2024, Legal Responses to Intellectual Property Rights Issues of Generative Artificial Intelligence. Henan Science &amp;amp; Technology, 51(22): 125&amp;ndash;128.
[13] Zhou SH, 2024, Discussion on Intellectual Property Rights Legal Guarantee Issues of Generative Artificial Intelligence. Legal Vision, 2024(28): 157&amp;ndash;159.
[14] Zhang HP, 2024, Reflections and Approaches on Intellectual Property Rights Protection for AI‑Generated Contents &amp;mdash; From &amp;ldquo;Copyright‑Oriented Path&amp;rdquo; to &amp;ldquo;Patent‑Oriented Mode.&amp;rdquo; Journal of Wuhan Technical College of Communications, 26(2): 43&amp;ndash;50.
[15] Wu HD, Liu X, 2024, Legal Responses and Institutional Innovations for Intellectual Property Rights of Generative Artificial Intelligence. Science, Technology and Law (Chinese‑English Edition), 2024(1): 1&amp;ndash;10.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
