AI and Intellectual Property

Extracted Attributes

• Field

  Intellectual Property Law

• Key Challenge

  Risk of AI systems infringing third-party IP rights

• Key Opportunity

  AI for IP protection and management (e.g., patent review, trademark portfolio management)

• Impact on Creators

  Potential reduction of incentive if AI uses IP without permission or compensation

• Legislative Response

  Generative AI Copyright Disclosure Act of 2024 (proposed in U.S. Congress)

• Impact on AI Development

  Risk of 'model collapse' or 'synthetic base' if AI trains on AI-generated content

Timeline

• Perplexity AI, a company that would later face legal scrutiny over copyright infringement and unauthorized content use, was founded. (Source: Wikipedia)

  2022

• The Generative AI Copyright Disclosure Act of 2024 was introduced in the U.S. Congress, aiming to address AI and copyright concerns by requiring disclosure of training datasets. (Source: Web Search Results)

  2024-04-09

• Numerous high-profile IP infringement cases involving AI systems, such as Getty Images v Stability AI and Zhang v Google, are taking place, highlighting the challenges of applying current IP laws to AI-generated content and training data. (Source: Web Search Results)

  Ongoing

• Perplexity AI has attracted legal scrutiny over allegations of copyright infringement, unauthorized content use, and trademark issues from major media organizations. (Source: Wikipedia)

  Ongoing

Perplexity AI

Perplexity AI, Inc., or simply Perplexity, is an American privately held software company offering a web search engine that processes user queries and synthesizes responses. It uses large language models and incorporates real-time web search capabilities, enabling it to provide responses based on current Internet content. With a conversational approach, Perplexity allows users to ask follow-up questions and receive contextual answers. All responses include citations to their sources from the Internet to support transparency and allow users to verify information. A free public version is available, while a paid Pro subscription offers access to more advanced language models and additional features. Perplexity AI, Inc. was founded in 2022 by Aravind Srinivas, Denis Yarats, Johnny Ho, and Andy Konwinski. As of July 2025, the company was valued at US$18 billion. Perplexity AI has attracted legal scrutiny over allegations of copyright infringement, unauthorized content use, and trademark issues from several major media organizations, including the BBC, Dow Jones, and The New York Times.

Web Search Results

• The Evolving Landscape of IP Law in the Age of AI - ABC Legal

  The intersection of artificial intelligence (AI) and intellectual property (IP) law is a rapidly evolving field, reshaping traditional legal frameworks. AI is creating new forms of intellectual property, raising questions about data ownership, authorship, and legal protection. Legal professionals, business owners, and creators must navigate these new complexities. Let’s explore how artificial intelligence challenges the established norms of intellectual property law. [...] Artificial intelligence, on the other hand, is a technology that simulates human intelligence. It can learn, reason, problem-solve, and understand language. AI's ability to create and innovate is transforming the IP landscape, challenging traditional notions of authorship and ownership. AI-generated works blur the lines between human and machine creation. This brings up tricky issues on how current laws on intellectual property apply to works created by artificial intelligence. [...] The challenges posed by AI to IP law highlight the need for new legislation and policies. Current laws were not designed with AI in mind and are ill-equipped to handle the unique issues that AI presents. As technology like artificial intelligence advances, it's important to rethink how to approach intellectual property rights. This could mean making new laws, changing current ones, or looking at old laws in different ways.

• AI and intellectual property rights - Dentons

  registration, AI is also being utilised to protect intellectual property. Some companies with high-value patents, for example, are using AI to review newly registered patents, protecting their patents and avoiding duplication. [...] The integration of AI into IP practices is expected to become more mainstream in future, freeing up advisors to provide more valuable legal support. AI technology is already being used to improve process efficiencies, for efficient data analysis and for managing trademark portfolios. AI tools are now increasingly being used for searching, reviewing and analysing IP registers, including trademarks, designs and patents for the purpose of freedom to operate analysis. In addition to IP [...] Consequent to the ambiguity around copyright ownership over AI generated content, the issue of IP infringement as a result of AI has taken center-stage in global legislative discourse. AI models are trained on IP-protected data.

• The interaction between intellectual property laws and AI

  Conceptually, it is easier to obtain IP protection over AI-assisted content, as there is obvious human involvement in the creation of the content.10 Where a human inventor or author uses AI to assist them in the creative process, this is arguably no different from using any other electronic tool; the use of AI in this case should not be a barrier to obtaining IP protection. [...] Conceptually, it is easier to obtain IP protection over AI-assisted content, as there is obvious human involvement in the creation of the content.10 Where a human inventor or author uses AI to assist them in the creative process, this is arguably no different from using any other electronic tool; the use of AI in this case should not be a barrier to obtaining IP protection. [...] When using AI technology to generate content, another important consideration is whether there is a risk of infringing third party IP rights. The risk of infringement cannot be overstated. In recent years, there have been numerous high-profile IP infringement cases involving the use of AI systems – examples include Getty Images v Stability AI and Zhang v Google.

• AI, Copyright, and the Law: The Ongoing Battle Over Intellectual ...

  Artificial intelligence (AI) is rapidly reshaping industries, but it also raises complex legal questions—particularly in the realm of copyright law. In the past year, courts, legislators, and regulators have grappled with issues such as whether AI-generated content can be copyrighted, whether AI developers are liable for using copyrighted materials to train models, and how existing intellectual property (IP) laws should adapt to new technologies. These questions have significant implications [...] In response to these legal battles, lawmakers have begun crafting legislation to address AI and copyright concerns. One such proposal is the Generative AI Copyright Disclosure Act of 2024, introduced in the U.S. Congress on April 9, 2024. This bill would require companies developing generative AI models to disclose the datasets used to train their systems, increasing transparency and potentially giving copyright owners more control over their works.( [...] In the rapidly evolving landscape of artificial intelligence (AI), the intersection of AI and copyright law has become a focal point of legal discourse. Recent developments have highlighted the challenges and complexities in determining the ownership and protection of AI-generated content. 1. The Current Legal Landscape for AI-Generated Content

• What's yours isn't mine: AI and intellectual property

  ## Util Nav ## CTA ## New Main Navigation ## CTA Kathleen Day portrait ## Breadcrumbs ## Breadcrumb # What’s yours isn’t mine: AI and intellectual property Kathleen Day, lecturer of finance, business communication and law and ethics at the Johns Hopkins Carey Business School, shares how artificial intelligence may violate intellectual property law. ## What’s yours isn’t mine: AI and intellectual property [...] We all benefit from new drugs, improved procedures, and the myriad of other advances AI has helped deliver. But what if the people whose work led to these breakthroughs lack the incentive to keep producing groundbreaking research? If AI uses their intellectual property without permission or compensation, they may have less incentive to produce more. That halts progress for everyone, and, paradoxically, for AI itself, as the well of examples computers analyze could dry up. [...] Ongoing intellectual property lawsuits will help settle legal questions, but even if the AI programmers win, their headache could persist. They already worry they are running out of new material to use to teach AI computers, which leads to reusing material – specifically using AI-generated products to teach AI. That creates a synthetic base of examples that rely on technology without human review or intervention, creating the potential to yield increasingly poor learning outcomes.