A New York court just decided some important preliminary motions (which I previously covered here in this post) involving allegedly unauthorized AI cloning of voice actors. The court reached a split decision, concluding “that, for the most part, Plaintiffs have not stated cognizable claims under federal trademark and copyright law. However, that does not
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
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
Given the introduction of the ‘NO FAKES’ Act by a bi-partisan group of senators within days of U.S. Copyright Office’s release of its digital replicas report asserting an “urgent need” for more cohesive protections at the federal level, it’s clear that momentum is building for federal oversight in the realm of deepfake and digital replication
The U.S. Copyright Office (“Office”) has published guidance on its policy and practices for examining and registering works that contain material generated by the use of artificial intelligence technology. Some of the key points include the following:
Roblox recently announced that it is working on generative artificial intelligence (AI) tools that will help developers who build experiences on Roblox, to more easily create games and assets. The first two test tools create generative AI content from a text prompt and enable generative AI to complete computer code. This is just the tip
Over the past few years, sophisticated pricing algorithms and artificial intelligence have attracted the attention of antitrust and competition enforcers. These new technologies interpret and respond to market conditions with far more precision, agility, and consistency than their human counterparts. As a result, they may require practitioners to develop new ways of thinking about joint