2024 AGENDA

Speakers:
Ned Sherman, Chief Business Affairs & Legal Officer, Skybound
Paul Sweeting, Director, RightsTech Project

Artists, authors, and media companies agree that the use of copyrighted works to train generative AI models requires a license and remuneration to rights owners. But how would such a licensing regime be implemented? If direct licensing is impractical at the scale required, how should any collective licensing system be designed? How would it be managed? Are existing collective licensing systems up to the task? This panel will examine how artists and rights owners in different media sectors thinking about the challenge.

Panelists:
Lori Fena, Co-Founder & Head of Business Development, Personal Digital Spaces
Michael Grecco, Founder & Board Member, The American Society for Collective Rights Licensing, Inc.
Lydia Gregory, CEO & Co-Founder, Figaro.ai

Moderator:
Paul Sweeting, Director, RightsTech Project

A conversation with Pamela Samuelson, the Richard M. Sherman Distinguished Professor of Law and Information at the University of California, Berkeley.

Creators and copyright owners have been buffeted by disruptive technology more than once in recent decades, but none has been quite as disorienting as generative AI. An AI’s ability to learn how to conjure images, text and music that closely resembles the work of human artists and authors in a matter of seconds has raised confounding questions as to whether and how the new technology can be reconciled with existing copyright law and with notions of authorship and creativity. A renowned copyright scholar and attorney, Professor Samuelson’s has been a prominent, and at times controversial, voice in the debate on AI, innovation and copyright.

Keynote Speaker:
Pamela Samuelson, Richard M. Sherman Distinguished Professor of Law, Berkeley Law

Interviewer:
Sophie Goossens, Partner, Reed Smith LLP

Coffee Break sponsored by:

While artists and rights owners await action by lawmakers and the courts on copyright rules for generative AI, do-not-train tags, data “poisoning,” and other new technical measures could offer another avenue for creators to protect their work against unlicensed use to train AI models. This panel will highlight the latest tools being developed, how they’re being implemented and who is adopting them.

Panelists:
Wendell Adams, CEO, PrimeLab.io
Bill Colitre, Vice President & General Counsel, Music Reports, Inc.
Sneha Deo, Responsible AI Product Lead, Microsoft
Joel T. Jordan, Founder & President, Synchtank

Moderator:
Jake Beaumont-Nesbitt, Director, Innovation & Education, International Music Managers Forum

An overview of the latest AI-related regulatory and legislative initiatives. Where things stand, from implanting the European Union’s AI Act, to copyright laws, to antitrust enforcement and creating a federal publicity right.

Presenters:
Nikki Bhargava, Partner, Reed Smith, LLP
Sophie Goossens, Partner, Reed Smith, LLP
Amy Isbell, Senior VP, Public Policy and Government Relations, Universal Music Group

From song catalogs, to film and television libraries, to literary estates, copyrights have been a hot asset class. But has the market cooled? How has the rapid growth of generative AI affected valuations, and what does the new macroeconomic environments portend for the future of rights investing?

Panelists:
Peter Harvey, CEO, RoyFi
Duff Berschback, EVP, Business & Legal Affairs, Publishing, Concord Music Publishing, LLC
Neeta Ragoowansi, President, Music Managers Forum - US

Moderator:
David Bloom, Senior Contributor, Forbes

Coffee Break sponsored by:

In the most of the world, works created by artificial intelligence cannot be copyrighted. But works containing AI elements alongside the work of human creators sometimes can be. But where is the line? How much AI is too much? How can creators make sure their works containing AI elements can be protected?

Panelists:
Ben Berman, CEO, AppMana
Albhy Galuten, Senior Fellow, Intertrust Technologies
Josh Love, Partner, Reed Smith, LLP
Matthew Neco, Attorney & Mediator, Unaffiliated

Moderator:
David Fink, Partner, Venable LLP

Identifying and detecting works produced by AI is essential for filtering AI content from streaming royalty pools and preventing fraud. This panel will highlight the latest efforts to develop effective AI detection and identification tools and their integration with real world services and applications.

Panelists:
Virginie Berger, Chief Business Development & Rights Officer, Matchtune
Amadea Choplin, Chief Operating Officer, Pex
Will Kreth, CEO, HAND

Moderator:
Beverly Macy, Lecturer, UCLA Anderson School of Management, Member, Executive Board Innovate, UCLA