Ryan Abbott

Ryan Abbott, MD, JD, MTOM, PhD, is a partner at Brown, Neri, Smith & Khan, LLP, a mediator and arbitrator with JAMS, Inc., Professor of Law and Health Sciences at the University of Surrey School of Law, and Adjunct Assistant Professor of Medicine at the David Geffen School of Medicine at UCLA. He is the author of The Reasonable Robot: Artificial Intelligence and the Law (Cambridge University Press, 2020) as well as the editor of Research Handbook on Intellectual Property and Artificial Intelligence (Edward Elgar, 2022). He has published widely on issues associated with life sciences and intellectual property in leading legal, medical, and scientific books and journals, and his research has been featured prominently in the popular press including in The Times of London, the New York Times, the Financial Times, and other media outlets involving time. Professor Abbott has worked as an expert for, among others, the UK Parliament, the European Commission, the World Health Organization, and the World Intellectual Property Organization. He is a licensed physician and patent attorney in the United States, and a solicitor advocate in England and Wales. Managing Intellectual Property magazine named him as one of the fifty most influential people in intellectual property in 2019 and again in 2021.

Aleksander Goranin

Aleksander Goranin is a software copyright and patent litigator, specializing in intellectual property- and technology-driven cases. He is a core member of Duane Morris’s Technology Media & Telecom practice and a lead of its Artificial Intelligence working group. Mr. Goranin regularly represents prominent enterprise software, web, and telecom companies both in the courtroom and at the negotiating table. In addition to trial work, Mr. Goranin also regularly advises technology clients with web- and data-centric business models on issues concerning proper data acquisition, data use, data ownership, software and data licensing, and potential online intermediary liability, section 230, and DMCA implications. Alex is active in the leadership of The Copyright Society and co-chairs its AI Series of CLE programming. He started his legal career clerking for then Chief Judge Edward Becker of the U.S. Court of Appeals for the Third Circuit.

Yacine Jernite

Dr. Yacine Jernite is Machine Learning and Society Lead at Hugging Face, an AI platform and community dedicated to developing and sharing open source machine learning models and datasets, including a notable code library for building transformer models for natural language processing and BLOOM, a multilingual large language model with 176 billion parameters. At Hugging Face, Dr. Jernite works on ML systems governance at the intersection of regulatory and technical tools. Dr. Jernite received a masters degree in applied mathematics from the Ecole Normale Superiere in France, a Ph.D. in computer science from NYU’s Courant Institute of Mathematical Science, and was a postdoctoral researcher at FAIR, Facebook’s Artificial Intelligence Research group, working on unsupervised text summarization, long form question answering, and natural language interactions between human and machine.

Christopher Kenneally

Christopher Kenneally is Senior Director, Content Marketing at Copyright Clearance Center (CCC), where he develops content and programming covering publishing and research. He is host of Velocity of Content, a twice-weekly podcast from CCC. As an independent journalist, he has written for the New York Times, Boston Globe, and many other publications. He has also reported for WBUR-FM (Boston), National Public Radio, and WGBH-TV (PBS-Boston). He is author of Massachusetts 101 and The Massachusetts Legacy.

Jason Kwon

Jason Kwon is General Counsel of OpenAI.  Previously he was the General Counsel of Y Combinator Continuity, Assistant General Counsel of Khosla Ventures, and an Associate Attorney at Goodwin Procter.  He was a software engineer and product manager before practicing law.  He has a JD from UC Berkeley Law and a BA from Georgetown University.

Bill Rosenblatt

Bill Rosenblatt is the program chair and co-producer of the Copyright and Technology conference, and a Trustee of the Copyright Society. He is a globally recognized authority on technology issues pertaining to intellectual property in the digital age.  He has contributed to standards initiatives related to content identification, metadata, and rights.  Bill has served as an expert witness in litigations related to copyright, digital media, security, and music business issues in the US, Canada, and Europe. He has testified in federal court, the Copyright Royalty Board, and the International Trade Commission.  He has also testified before and advised public policy entities on three continents on digital copyright and technology issues.

Bill is an adjunct professor in the Music and Performing Arts Professions department at NYU. He is author of the book Digital Rights Management: Business and Technology (Wiley) and co-author (with Howie Singer) of Key Changes: The Ten Times Technology Disrupted the Music Industry (Oxford University Press). He has written for Forbes, Publishers Weekly, and other publications, and he has spoken at events ranging from Practising Law Institute panels in NYC to the World Economic Forum in Davos, Switzerland.

Bill is not a lawyer but he sometimes plays one on TV; and he plays guitar in the Copyright Society house band Crude Humble & Obvious. He holds a B.S.E. in Electrical Engineering and Computer Science from Princeton University and an M.S. in Computer Science from the University of Massachusetts, and he has had executive education in business and finance from NYU, Harvard, and USC.

Matthew Sag

Matthew Sag is a Professor of Law, Artificial Intelligence, Machine Learning and Data Science at Emory University Law School. Professor Sag is an expert in copyright law and intellectual property. He is a leading U.S. authority on the fair use doctrine in copyright law and its implications for researchers in the fields of text data mining, machine learning and AI.  

Professor Sag is currently working on several theoretical contributions to copyright law in relation to AI and machine learning and a series of empirical papers using text-mining and machine learning tools to study judicial behavior. His work has been published in leading journals such as Nature and Science, and the law reviews of the University of California Berkeley, Georgetown, Northwestern, Notre Dame, Vanderbilt, Iowa and William & Mary, among others. His research has been widely cited in academic works, court submissions, judicial opinions and government reports.  

Howie Singer

Howie Singer PhD is an expert on music industry technologies who played a leading role in the transition to digital music delivery. At Warner Music Group, he served as SVP and Chief Strategic Technologist analyzing new business models and services. Since 2018, he has taught a graduate class on Data Analysis in the Music Industry at NYU. He is the co-author with Bill Rosenblatt of Key Changes: The Ten Times Technology Transformed the Music Industry (Oxford University Press).  Howie spent the first part of his career at Bell Labs and AT&T, where he co-founded a2b music, an early digital music startup.