{"id":28825,"date":"2026-07-30T11:30:51","date_gmt":"2026-07-30T11:30:51","guid":{"rendered":"https:\/\/www.legalserviceindia.com\/Legal-Articles\/?p=28825"},"modified":"2026-07-30T11:31:28","modified_gmt":"2026-07-30T11:31:28","slug":"generative-ai-intellectual-property-rights-copyright-patentability-fair-use","status":"publish","type":"post","link":"https:\/\/www.legalserviceindia.com\/Legal-Articles\/generative-ai-intellectual-property-rights-copyright-patentability-fair-use\/","title":{"rendered":"Intellectual Property Rights in the Era of Generative AI: Re-evaluating Authorship, Patentability, and Fair Use"},"content":{"rendered":"\n<h1 id=\"h-intellectual-property-rights-in-the-era-of-generative-ai-re-evaluating-authorship-patentability-and-fair-use\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Intellectual_Property_Rights_in_the_Era_of_Generative_AI_Re-Evaluating_Authorship_Patentability_and_Fair_Use\"><\/span>Intellectual Property Rights in the Era of Generative AI: Re-Evaluating Authorship, Patentability, and Fair Use<span class=\"ez-toc-section-end\"><\/span><\/h1>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>A Jurisprudence Analysis of Copyright Ownership, Patent Inventorship, and Data Scraping Doctrines<\/strong><\/p><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #0c0c0c;color:#0c0c0c\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #0c0c0c;color:#0c0c0c\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/generative-ai-intellectual-property-rights-copyright-patentability-fair-use\/#Intellectual_Property_Rights_in_the_Era_of_Generative_AI_Re-Evaluating_Authorship_Patentability_and_Fair_Use\" >Intellectual Property Rights in the Era of Generative AI: Re-Evaluating Authorship, Patentability, and Fair Use<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/generative-ai-intellectual-property-rights-copyright-patentability-fair-use\/#1_Introduction_The_Generative_AI_Paradigm_and_Intellectual_Property_Law\" >1. Introduction: The Generative AI Paradigm and Intellectual Property Law<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/generative-ai-intellectual-property-rights-copyright-patentability-fair-use\/#Key_Legal_Challenges_Presented_by_Generative_AI\" >Key Legal Challenges Presented by Generative AI<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/generative-ai-intellectual-property-rights-copyright-patentability-fair-use\/#2_Copyright_Ownership_and_the_Requirement_of_Human_Authorship\" >2. Copyright Ownership and the Requirement of Human Authorship<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/generative-ai-intellectual-property-rights-copyright-patentability-fair-use\/#Important_Human_Authorship_Principles\" >Important Human Authorship Principles<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/generative-ai-intellectual-property-rights-copyright-patentability-fair-use\/#3_Patentability_and_the_Inventorship_Dilemma_in_AI-Driven_Discoveries\" >3. Patentability and the Inventorship Dilemma in AI-Driven Discoveries<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/generative-ai-intellectual-property-rights-copyright-patentability-fair-use\/#Patent_Inventorship_Issues\" >Patent Inventorship Issues<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/generative-ai-intellectual-property-rights-copyright-patentability-fair-use\/#4_Model_Training_Data_Scraping_and_the_Boundaries_of_Fair_Use\" >4. Model Training, Data Scraping, and the Boundaries of Fair Use<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/generative-ai-intellectual-property-rights-copyright-patentability-fair-use\/#Fair_Use_Issues_in_AI_Model_Training\" >Fair Use Issues in AI Model Training<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/generative-ai-intellectual-property-rights-copyright-patentability-fair-use\/#5_Policy_Directions_Balancing_Innovation_and_Protection\" >5. Policy Directions: Balancing Innovation and Protection<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/generative-ai-intellectual-property-rights-copyright-patentability-fair-use\/#Future_Policy_Priorities\" >Future Policy Priorities<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/generative-ai-intellectual-property-rights-copyright-patentability-fair-use\/#Key_Takeaways\" >Key Takeaways<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/generative-ai-intellectual-property-rights-copyright-patentability-fair-use\/#End-Notes\" >End-Notes<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/generative-ai-intellectual-property-rights-copyright-patentability-fair-use\/#Important_Links\" >Important Links<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n\n\n\n\n<h2 id=\"h-1-introduction-the-generative-ai-paradigm-and-intellectual-property-law\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"1_Introduction_The_Generative_AI_Paradigm_and_Intellectual_Property_Law\"><\/span>1. Introduction: The Generative AI Paradigm and Intellectual Property Law<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The rapid commercialisation and widespread deployment of generative artificial intelligence (&#8216;AI&#8217;) systems have initiated a seismic disruption across global intellectual property (&#8216;IPR&#8217;) regimes. 1. Intellectual property frameworks\u2014built primarily around human-centric notions of creativity, labour, and economic incentive\u2014are currently struggling to accommodate machine-generated outputs. 2 From generative text and synthetic imagery to autonomous software compilation and molecular design, AI applications challenge the traditional boundary between protected human expression and unprotectable algorithmic output. 3<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This technological surge presents two core legal challenges:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Output-side<\/strong> concerns regarding the subsistence of copyright and patent protection in machine-created works. 4<\/li>\n\n\n\n<li><strong>Input side<\/strong> issues concerning copyright infringement during model training. 4<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">As courts and patent offices across major jurisdictions grapple with these questions, legislative bodies face growing pressure to formulate modernised legal standards that balance innovation with the rights of original creators. 5<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><strong>&#8220;The fundamental philosophical foundation of intellectual property protection rests upon human intellectual effort and creative agency. Distorting statutory definitions of authorship to include autonomous software runs the risk of undermining the delicate constitutional bargain that incentivises human creation.&#8221;<\/strong><\/p>\n<\/blockquote>\n\n\n\n<h3 id=\"h-key-legal-challenges-presented-by-generative-ai\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Key_Legal_Challenges_Presented_by_Generative_AI\"><\/span>Key Legal Challenges Presented by Generative AI<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Area<\/th><th>Primary Legal Issue<\/th><\/tr><\/thead><tbody><tr><td>Output Side<\/td><td>Copyright ownership and patent protection for AI-generated works<\/td><\/tr><tr><td>Input Side<\/td><td>Copyright infringement arising from AI model training datasets<\/td><\/tr><tr><td>Policy<\/td><td>Balancing technological innovation with creators&#8217; rights<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"h-2-copyright-ownership-and-the-requirement-of-human-authorship\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"2_Copyright_Ownership_and_the_Requirement_of_Human_Authorship\"><\/span>2. Copyright Ownership and the Requirement of Human Authorship<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A central debate in contemporary copyright jurisprudence concerns whether autonomous or semi-autonomous AI output qualifies for copyright protection. 6 Historically, national copyright statutes have consistently required a direct nexus between the work and human intellectual creativity. 7 Recent judicial rulings and administrative guidance from leading copyright offices have reiterated that works created entirely by machine algorithms without sufficient human control remain in the public domain. 8<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, determining the precise threshold of human intervention required to establish authorship remains complex. 9 When human prompts are highly detailed, iterative, or combined with post-generation editing, courts must evaluate whether the prompt engineer has exercised genuine &#8216;creative control&#8217; or merely provided high-level instructions analogous to a client commissioning a human artist. 10 As generative tools become increasingly integrated into professional workflows, establishing clear lines between human assistance and autonomous generation remains critical. 11<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><strong>&#8220;To claim copyright in an AI-assisted work, a human author must contribute sufficient creative expression that directly shapes the final arrangement, selection, or composition of the output, rather than relying solely on automated algorithmic execution.&#8221;<\/strong><\/p>\n<\/blockquote>\n\n\n\n<h3 id=\"h-important-human-authorship-principles\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Important_Human_Authorship_Principles\"><\/span>Important Human Authorship Principles<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Human intellectual creativity remains the foundation of copyright protection.<\/li>\n\n\n\n<li>Machine-generated works without sufficient human control generally remain in the public domain.<\/li>\n\n\n\n<li>The degree of human creative control continues to be a major judicial consideration.<\/li>\n\n\n\n<li>Prompt engineering alone may not always establish copyright authorship.<\/li>\n\n\n\n<li>Post-generation creative editing can influence authorship determination.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"h-3-patentability-and-the-inventorship-dilemma-in-ai-driven-discoveries\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"3_Patentability_and_the_Inventorship_Dilemma_in_AI-Driven_Discoveries\"><\/span>3. Patentability and the Inventorship Dilemma in AI-Driven Discoveries<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Parallel challenges have emerged within patent law, where advanced machine learning models now autonomously synthesise novel chemical compounds, optimise engine designs, and engineer mechanical devices. 12 In several landmark cases globally (commonly referred to as the DABUS matters), patent offices and appellate courts examined whether an AI algorithm could be validly listed as a sole or joint inventor. 13<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The overwhelming consensus across international tribunals reaffirms that patent statutes mandate a natural person as the named inventor. 14 Nevertheless, denying patent protection to valuable inventions generated through machine intelligence creates potential market gaps. 15 If patent systems require a natural person inventor but reject applications where human scientists relied extensively on automated discovery, companies may conceal technological innovations as trade secrets, reducing transparency in scientific advancement. 16 patent offices are now issuing procedural frameworks to clarify when human reliance on AI tools still permits human inventorship status. 17<\/p>\n\n\n\n<h3 id=\"h-patent-inventorship-issues\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Patent_Inventorship_Issues\"><\/span>Patent Inventorship Issues<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Issue<\/th><th>Current Position<\/th><\/tr><\/thead><tbody><tr><td>AI as Inventor<\/td><td>A natural person is generally required.<\/td><\/tr><tr><td>DABUS Cases<\/td><td>Courts largely rejected AI inventorship.<\/td><\/tr><tr><td>Commercial Concern<\/td><td>Possible shift toward trade-secret protection<\/td><\/tr><tr><td>Emerging Practice<\/td><td>Guidelines clarifying human inventorship when AI tools assist innovation<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"h-4-model-training-data-scraping-and-the-boundaries-of-fair-use\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"4_Model_Training_Data_Scraping_and_the_Boundaries_of_Fair_Use\"><\/span>4. Model Training, Data Scraping, and the Boundaries of Fair Use<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">On the input side, the training of large language models and diffusion systems requires assembling massive datasets that often include copyrighted literary works, digital artwork, and proprietary code without prior licensing. 18. Copyright holders argue that unauthorised ingestion and storage of protected material constitutes direct copyright infringement. 19 Conversely, AI developers contend that training models involves transformative data analysis, falling squarely within statutory exceptions such as &#8216;fair use&#8217; or text and data mining (&#8216;TDM&#8217;) exemptions. 20<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The resolution of these infringement actions hinges on whether training AI models damages the market value for original works or acts as a commercial substitute for human creators. 21 If generative outputs compete directly with the artists whose works were scraped to build the model, courts may find that fair use defences are unpersuasive. 22 Consequently, technological companies are increasingly entering into collective licensing agreements with content owners to establish sustainable data pipeline models. 23<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><strong>&#8220;Ingesting protected expressions to train commercial models that directly compete with original creators challenges traditional interpretations of fair use. Maintaining a functional equilibrium requires robust licensing frameworks that compensate for human authorship.&#8221;<\/strong><\/p>\n<\/blockquote>\n\n\n\n<h3 id=\"h-fair-use-issues-in-ai-model-training\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Fair_Use_Issues_in_AI_Model_Training\"><\/span>Fair Use Issues in AI Model Training<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Large AI models require extensive datasets for training.<\/li>\n\n\n\n<li>Many datasets contain copyrighted books, artwork, music, and software.<\/li>\n\n\n\n<li>Copyright owners argue unauthorised copying constitutes infringement.<\/li>\n\n\n\n<li>AI developers rely upon fair use or text and data mining exceptions.<\/li>\n\n\n\n<li>Market substitution remains a major factor in ongoing litigation.<\/li>\n\n\n\n<li>Collective licensing models are increasingly being explored.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"h-5-policy-directions-balancing-innovation-and-protection\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"5_Policy_Directions_Balancing_Innovation_and_Protection\"><\/span>5. Policy Directions: Balancing Innovation and Protection<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The rapid expansion of generative technology necessitates modern legal strategies to safeguard intellectual property principles while encouraging technological growth. 24 specialised regulatory responses\u2014such as mandatory disclosure of AI-generated content, standardised metadata tagging, and statutory text-mining exemptions with opt-out mechanisms\u2014are actively under development globally. 25 International harmonisation among treaty bodies like WIPO is crucial to avoid jurisdictional fragmentation in global IP enforcement. 26<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ultimately, intellectual property law must adapt to technological changes without compromising its core objective: encouraging human intellect and public progress. 27 By establishing fair standards for human authorship, inventorship attribution, and data licensing, legal systems can ensure that human creativity and artificial intelligence complement each other constructively. 28<\/p>\n\n\n\n<h3 id=\"h-future-policy-priorities\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Future_Policy_Priorities\"><\/span>Future Policy Priorities<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Policy Area<\/th><th>Objective<\/th><\/tr><\/thead><tbody><tr><td>AI Disclosure<\/td><td>Increase transparency regarding AI-generated content.<\/td><\/tr><tr><td>Metadata Standards<\/td><td>Improve identification and traceability of AI-created works.<\/td><\/tr><tr><td>Text and Data Mining<\/td><td>Develop balanced statutory exemptions with opt-out mechanisms.<\/td><\/tr><tr><td>International Cooperation<\/td><td>Promote harmonised intellectual property standards through WIPO.<\/td><\/tr><tr><td>Licensing Frameworks<\/td><td>Protect creators while supporting responsible AI innovation.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"h-key-takeaways\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Key_Takeaways\"><\/span>Key Takeaways<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Generative AI is fundamentally reshaping global intellectual property law.<\/li>\n\n\n\n<li>Human authorship remains the cornerstone of copyright protection.<\/li>\n\n\n\n<li>Patent laws continue to require a natural person as the inventor.<\/li>\n\n\n\n<li>AI training datasets have intensified debates over copyright infringement and fair use.<\/li>\n\n\n\n<li>Licensing mechanisms and international harmonisation are emerging as practical solutions.<\/li>\n\n\n\n<li>Future intellectual property frameworks must balance technological innovation with protection of human creativity.<\/li>\n<\/ul>\n\n\n\n<h3 id=\"h-end-notes\" class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"End-Notes\"><\/span>End-Notes<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Mark A. Lemley, <em>&#8216;Myth and Reality in Generative AI and Intellectual Property&#8217;<\/em>, <strong>Stanford Law Review<\/strong>, Vol. 76, No. 4 (2024), pp. 789\u2013820.<\/li>\n\n\n\n<li>Jane C. Ginsburg, <em>&#8216;People Not Machines: Authorship and What It Means in Copyright Law&#8217;<\/em>, <strong>Columbia Journal of Law &amp; the Arts<\/strong>, Vol. 41, No. 2 (2018), pp. 221\u2013254.<\/li>\n\n\n\n<li>Daniel Gervais, <em>The Machine As Author: AI and the Future of Copyright<\/em>, Oxford University Press (2021), p. 62.<\/li>\n\n\n\n<li>Pamela Samuelson, <em>&#8216;Generative AI Meets Copyright Law&#8217;<\/em>, <strong>Communications of the ACM<\/strong>, Vol. 66, No. 7 (2023), pp. 22\u201325.<\/li>\n\n\n\n<li>World Intellectual Property Organization (WIPO), <em>Revised Issues Paper on Intellectual Property Policy and Artificial Intelligence<\/em>, WIPO\/IP\/AI\/2\/REV (2020), p. 8.<br>\u00a0<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-yoast-seo-related-links yoast-seo-related-links\">\n<li><a href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/ai-impacts-on-intellectual-property-and-innovation-challenges\/\">AI Impacts On Intellectual Property And Innovation Challenges<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/who-owns-ai-generated-content-copyright-challenges-in-the-age-of-generative-artificial-intelligence\/\">Who Owns AI-Generated Content? Copyright Challenges in the Age of Generative Artificial Intelligence<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/can-ai-tools-steal-your-copyright-understanding-ai-creativity-and-the-law\/\">Can AI Tools Steal Your Copyright? Understanding AI, Creativity and the Law\u00a0<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/ai-generated-works-and-copyright-laws\/\">AI-Generated Works and Copyright Laws<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.legalserviceindia.com\/Legal-Articles\/can-chatgpt-be-forced-to-display-website-links\/\">Can ChatGPT Be Forced to Display Website Links?<\/a><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Important_Links\"><\/span>Important Links<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Important Links:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.legalserviceindia.com\/lawyers\/lawyers_home.htm\" target=\"_blank\" rel=\"noreferrer noopener\">Lawyers in India<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.legalserviceindia.com\/copyright\/register.htm\" target=\"_blank\" rel=\"noreferrer noopener\">Copyright Registration in India<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.legalserviceindia.com\/articles\/index.html\" target=\"_blank\" rel=\"noreferrer noopener\">Caveat Filing in Supreme Court of India<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.legalserviceindia.com\/helpline\/mutual_consent_divorce.htm\" target=\"_blank\" rel=\"noreferrer noopener\">Mutual Consent Divorce in Delhi\/NCR <\/a>: WhatsApp 9650499965<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Intellectual Property Rights in the Era of Generative AI: Re-Evaluating Authorship, Patentability, and Fair Use A Jurisprudence Analysis of Copyright Ownership, Patent Inventorship, and Data Scraping Doctrines 1. Introduction: The Generative AI Paradigm and Intellectual Property Law The rapid commercialisation and widespread deployment of generative artificial intelligence (&#8216;AI&#8217;) systems have initiated a seismic disruption across<\/p>\n","protected":false},"author":163,"featured_media":28828,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"two_page_speed":[],"_jetpack_memberships_contains_paid_content":false,"_joinchat":[],"footnotes":""},"categories":[9211],"tags":[5149,28],"class_list":["post-28825","post","type-post","status-publish","format-standard","has-post-thumbnail","category-intellectual-property-2","tag-intellectual-property","tag-top-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.1 (Yoast SEO v28.1) - 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