Using Copyrighted Works to Train AI: Fair Use or Just Plain Unfair? April 19th at 12:00pm - 1:30pm Register The use of creative content like artwork, photographs, textual materials and musical recordings to train machine learning models, which in turn enable various artificial intelligence tools and services, raises complex and unique issues regarding the use of copyrighted materials and the scope of the fair use doctrine. Our panel of experts will examine this issue, including addressing recent copyright infringement suits asserting that using images to train AI services infringes copyright, discussing the potential defenses to these infringement actions, and evaluating the possibility of compromises and creative solutions to the issue that could short circuit full-blown litigation. This event will be hybrid. Check-in begins at 11:45am EDT Lunch at 12:00pm EDT Program begins at 12:30pm and ends at 1:30pm Event Space Sponsor: CLE CREDIT: The program will offer MCLE credit — please see below for specific jurisdiction information. Instructions for verifying attendance will be emailed to registrants. Please email Bobby Cohen for CLE related questions. California: 1.0 Participatory The Copyright Society is a Certified MCLE Provider in California. New Jersey: 1.0 General New York: 1.0 Professional Practice The Copyright Society is an Accredited New York State CLE Provider. This intermediate program is appropriate for both newly admitted and experienced attorneys. Pennsylvania: 1.0 General The Copyright Society is an Accredited CLE & Distance Learning Provider in Pennsylvania. Speakers Sekou Campbell Partner | Culhane Meadows Sekou Campbell attended Yeshiva University’s… View Full Bio Katherine Forrest Partner | Paul Weiss A remarkable litigator and trial… View Full Bio Joshua Simmons Using Copyrighted Works to Train AI: Fair Use or Just Plain Unfair? | Joshua Simmons is a nationally recognized… View Full Bio Nancy Wolff Using Copyrighted Works to Train AI: Fair Use or Just Plain Unfair? | Nancy Wolff is a… View Full Bio