AI, Copyright & Licensing

Dr. Hayleigh Bosher, member of the Brunel University of London Centre for AI: Social and Digital Innovation, considers commercial and legal requirements for licensing copyright-protected content for use by AI in part 1 of an article that first appeared on the International Trademark Association (INTA) website.

GenAI has introduced unprecedented copyright risks for organizations. This guide provides a practical governance framework and actionable steps to modernize copyright policies for responsible, compliant AI adoption.

Many organizations and individuals participated in a recent Request for Information on the Development of an Artificial Intelligence Action Plan issued on behalf of the US Office of Science and Technology Policy (OSTP). Read a preview of what to expect when the AI Action Plan is issued this summer.

Babis Marmanis, Executive Vice President and Chief Technology Officer at CCC, says LLMs are not the way to “general artificial intelligence” but instead are powerful foundations for computer interfaces based on natural language.

CCC’s Roy Kaufman shares his London Book Fair talk with the Head of Product and Content Management for the American Psychological Association, “The Power of Licensing & Responsible AI – A Proactive Path for Publishers.”

CCC VP and General Counsel Catherine Zaller Rowland shares context and commentary as a spate of recent lawsuits shines light on how some generative AI (GenAI) companies are using copyrighted materials.

Legal and technology experts analyze how AI technologies and copyright intersect, offering a constructive path toward a future in which innovation is furthered by the symbiotic relationship between both domains.

With the recent progress made in generative AI and large language models (LLMs), CCC’s Babis Marmanis examines whether training materials are retained in the LLM produced by various vendors.

The advent of AI brings opportunities to a range of industries in many fields and its applications as an academic resource and its capacity to generate new content have garnered much attention.

Carlo Scollo Lavizzari asks “Is offshoring the training of AI a credible and efficient response to minimize copyright compliance risks or is offshoring merely a theoretical argument designed to both influence lawmakers and for government relations purposes?”

Companies have made public announcements about their willingness to immunize users when, or if, they face liability for copyright infringement in connection with use of their products.

In his article in The Columbia Journal of Law & Arts, CCC’s Roy Kaufman argues that the path to ethical and practical AI begins not with radical reinvention, but with a firm commitment to existing copyright principles, specifically, licensing.