In a significant move to address the tension between copyright and generative artificial intelligence (AI), the UK’s Copyright Licensing Agency (CLA), Authors’ Licensing and Collecting Society (ALCS), and Publishers’ Licensing Services (PLS) have announced plans to launch a collective licensing framework for AI training. The opt-in license would allow AI developers to use text-based published works—such as books, journals, and magazines—for training, fine-tuning, and retrieval-augmented generation (RAG) while ensuring that creators are compensated. The license is expected to roll out in Q3 2025, following further consultation with publishers.Continue Reading UK’s Collective Licensing Initiative Aims to Harmonize AI and Copyright Law

Congress has reintroduced the Nurture Originals, Foster Art, and Keep Entertainment Safe (NO FAKES) Act— a bipartisan bill designed to establish a federal framework to protect individuals’ right of publicity. As previously reported, the NO FAKES Act was introduced in 2023 to create a private right of action addressing the rise of unauthorized deepfakes and digital replicas—especially those misusing voice and likeness without consent. While the original bill failed to gain traction in a crowded legislative calendar, growing concerns over generative AI misuse and newfound support from key tech and entertainment stakeholders have revitalized the bill’s momentum.Continue Reading Congress Reintroduces the NO FAKES Act with Broader Industry Support

We previously reported on the groundbreaking AI Fair Use ruling in the Thomson Reuters Ross Intelligence case, where the court found that based on the facts of this case fair use was not a defense. Ross Intelligence moved, pursuant to 28 U.S.C. § 1292(b), for certification of the Court’s Order, for interlocutory appeal and for a stay pending that appeal. The Court has now granted that request.Continue Reading Court Grants Interlocutory Appeal on AI Fair Use Issue

The integration of artificial intelligence (AI) tools in healthcare is revolutionizing the industry, bringing efficiencies to the practice of medicine and benefits to patients. However, the negotiation of third-party AI tools requires a nuanced understanding of the tool’s application, implementation, risk and the contractual pressure points. Before entering the negotiation room, consider the following key insights:Continue Reading Key Considerations Before Negotiating Healthcare AI Vendor Contracts

The power of large language models (LLMs) that enables generative AI derives from vast quantities of data. Much of this data comes from scraping all forms of content from the internet. Despite the benefits, this practice raises numerous legal issues, some of which implicate IP issues. Dozens of pending lawsuits in the US alone include claims involving IP issues with data scraping. The recent OECD report titled “Intellectual Property Issues in AI Trained on Scraped Data” (Report) explores the intricate relationship between AI and IP rights, particularly focusing on data scraping practices used in AI training. It aims to provide policymakers with insights into the legal challenges posed by data scraping and potential policy approaches to address these issues. The following is an overview of the Report.Continue Reading OECD Report on Data Scraping and AI – What Companies Can Do Now as Policymakers Consider the Issues

While AI has many people uptight, Aescape has developed technology to help you relax – AI robotic massage. Aescape touts that it combines the timeless art of massage with robotics and artificial intelligence to deliver an exceptional massage experience every time. The “Aertable” (i.e., the massage table) has bolsters, headrests, and armrests that are all adjustable to provide a customized fit during each session. It also has continuous feedback which allows for real-time adjustments to optimize comfort. The “Aerscan” system captures 1.2 million data points, precisely mapping your body’s muscle structure to create a unique blueprint for a highly personalized massage experience. “Aerpoints” replicate the seven touch techniques of a skilled therapist, simulating the knuckle, thumb, cupped hand, blade of hand, palm, forearm, and elbow. The “Aerview” provides personal control so you can adjust the pressure, manage the music, or customize the display to create a session tailored to your preferences, needs and mood. The company has developed “Aerwear” a high-compression performance fabric that enhances body detection for the system and allows Aerpoints to move smoothly over your body. Wearing it is mandatory during the massage. The tables are equipped with advanced safety features, including force sensors and pause and emergency stop features to prevent or abate issues if things go wrong. Aescape is a classic example of an application of AI and robotics that will interact with humans. We will see many more such applications from this point forward. While Aescape seems to have anticipated some of the potential problems that can arise, any AI robotic application that interacts with humans has the potential for a variety of legal issues. The following are some of the general legal issues that may be relevant to AI robotic applications that interact with humans. But the actual issues will vary by application.Continue Reading If You Are Uptight About AI, This May Relax You

As artificial intelligence (AI) continues to transform the business world, acquirors need to prepare for a deep dive when evaluating companies that use AI to enable their businesses or create proprietary AI. Key considerations for buyers targeting AI-driven companies include understanding how AI is being used, assessing the risks associated with AI creation and use, being mindful of protecting proprietary AI technology, ensuring cybersecurity and data privacy, and complying with the regulatory landscape.Continue Reading M&A Playbook for Acquiring AI-Powered Companies

This blog post provides a brief overview of the impact of Regulation (EU) 2024/1689 of 13 June 2024 laying down harmonized rules on artificial intelligence (“AI Act”) on video game developers. More and more are integrating AI systems into their video games, including to generate backgrounds, non-player characters (NPCs), histories of objects to be founds in the video game. Some of these use cases are regulated under specific circumstances, and create obligations under the AI Act.Continue Reading Some Implications of the EU AI Act on Video Game Developers

The legal battles surrounding generative AI and copyright continue to escalate with prominent players in the Indian music industry now seeking to join an existing lawsuit against OpenAI, the creator of ChatGPT. On February 13, 2025, industry giants such as Saregama, T-Series, and the Indian Music Industry (IMI) presented their concerns in a New Delhi court, arguing that OpenAI’s methods for training its AI models involve extracting protected song lyrics, music compositions, and recordings without proper licensing or compensation. This development follows a broader trend of copyright holders challenging generative AI companies, as evidenced by similar claims in the U.S. and Europe.Continue Reading Indian Music Industry Enters the Global Copyright Debate Over AI

Individually, AI and blockchain are among the hottest, most transformative technologies. Collectively, they are incredibly synergistic – hence the 1+1=3 concept in the title. We are seeing more examples of how the two will interact. Over time, the level of interaction will be extensive. Many projects are being developed that bring the power of AI to blockchain applications and vice versa. One of these projects that has garnered significant attention is the Virtuals Protocol. The project launched in October 2024 via integration with Base, an Ethereum layer-2 network. Just recently, the project announced that it is expanding to Solana. Continue Reading AI and Blockchain – 1+1 =3

In one of the most closely-watched copyright cases this year, a Delaware court rejected defendant, ROSS Intelligence’s (“ROSS”), fair use and other defenses by vacating its previous stance and granting summary judgement in favor of plaintiff, Thomson Reuters (“Reuters”). The case stems from allegations that ROSS used copyrighted material from Reuters’ legal research platform, Westlaw, to train its artificial intelligence (“AI”)-driven legal research engine. While the decision will certainly be informative to the dozens of pending lawsuits against AI developers, it is important to note the scope of the opinion is limited to the specific facts of this case. Specifically, generative AI was not involved, and the court’s analysis of the fair use factors was heavily focused on the fact that the parties are direct competitors.Continue Reading Court Definitively Rejects Fair Use Defense in AI Training Case