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The Yuan Global Talks on Generative AI and Human Creativity: (Talk 1) Copyright Challenge – A Comparative Law View on Authorship

January 23 @ 4:30 pm - 6:30 pm

Talk I: Copyright Challenge – A Comparative Law View on Authorship
Tuesday, January 23, 2024
4:30 – 6:30 p.m. (PT)
Virtual/B-CLE

General MCLE Credit Available

Register | Agenda | Resources

Image Generated by DALL-E3 Prompted by Y.H.

Image Generated by DALL-E3 Prompted by Y.H.

Presented by

Asia IP Logo

In Nov. 2023, the five-year-old Beijing Internet Court (“BIC”) issued a landmark judgment (Li v. Liu) on the copyright eligibility of an image generated with Stable Diffusion AI, finding the human user that provided elaborate prompts to the machine to be the “author”. This judgment has triggered a flurry of vigorous debates in China, and meanwhile attracted significant international attention. Some commented that this $70 ruling may have far-reaching implications on the evolution of AIGC in China, unleashing a trillion-dollar industry. Some contrasted this judgment with the various rejection decisions issued lately by the US Copyright Office (“USCO”), which found that the human users in the loop do not have sufficient authorial control, despite the hundreds of prompt inputs. The apparent disparity in outcomes however, may have largely shadowed the similarity of a human-centered approach adopted by both institutions facing a common conundrum. With the emergence of powerful Gen-AI tools and their varied synergies with human beings, we now start to witness real-world examples of “authorless works as coined by Prof. Ginsburg and Luke Budiardjo. While these “works” may not fulfill the conventional authorship requirement, some of them may have remarkable commercial or even arguably artistic values (depending how we interpret “art”). How to properly address this common challenge faced by all jurisdictions, may require us to go beyond the doctrinal level and revisit the justifying principles of copyright law / author’s law, in light of the legal and economic context in the particular jurisdiction.

In this inaugural Talk, we invited Profs Guobin Cui and Qian Wang, two renowned copyright law scholars in China, to give us a nuanced account of this case, against the backdrop of how the rapidly evolving copyright law deals with various technological challenges in China. As a comparison, BCLT’s own faculty director Prof. Robert Merges, Co-Director of BAIC, will provide his insight through the lens of US copyright law, as well as the underlying principles of intellectual property.

Discussants: 

Prof. Guobin Cui (崔国斌), Tsinghua University School of Law
Prof. Robert Merges, BCLT
Prof. Qian Wang (王迁), Eastern University of Political Science and Law

In Nov. 2023, the five-year-old Beijing Internet Court (“BIC”) issued a landmark judgment (Li v. Liu) on the copyright eligibility of an image generated with Stable Diffusion AI, finding the human user that provided elaborate prompts to the machine to be the “author”. This judgment has triggered a flurry of vigorous debates in China, and meanwhile attracted significant international attention. Some commented that this $70 ruling may have far-reaching implications on the evolution of AIGC in China, unleashing a trillion-dollar industry. Some contrasted this judgment with the various rejection decisions issued lately by the US Copyright Office (“USCO”), which found that the human users in the loop do not have sufficient authorial control, despite the hundreds of prompt inputs. The apparent disparity in outcomes however, may have largely shadowed the similarity of a human-centered approach adopted by both institutions facing a common conundrum. With the emergence of powerful Gen-AI tools and their varied synergies with human beings, we now start to witness real-world examples of “authorless works as coined by Prof. Ginsburg and Luke Budiardjo. While these “works” may not fulfill the conventional authorship requirement, some of them may have remarkable commercial or even arguably artistic values (depending how we interpret “art”). How to properly address this common challenge faced by all jurisdictions, may require us to go beyond the doctrinal level and revisit the justifying principles of copyright law / author’s law, in light of the legal and economic context in the particular jurisdiction.

In this inaugural Talk, we invited Profs Guobin Cui and Qian Wang, two renowned copyright law scholars in China, to give us a nuanced account of this case, against the backdrop of how the rapidly evolving copyright law deals with various technological challenges in China. As a comparison, BCLT’s own faculty director Prof. Robert Merges, Co-Director of BAIC, will provide his insight through the lens of US copyright law, as well as the underlying principles of intellectual property.

Discussants: 

Prof. Guobin Cui (崔国斌), Tsinghua University School of Law
Prof. Robert Merges, BCLT
Prof. Qian Wang (王迁), Eastern University of Political Science and Law


Series Description

After decades of bust and boom, the year 2023 witnessed a meteoric rise of Generative AI (“Gen-AI”). Distinct from its predecessor Analytical AI, Gen-AI’s capability to produce ostensibly creative content, including aesthetically appealing “art” pieces with human prompts and innovative technical solutions to well-defined problems, heralds a paradigm shift in human being’s creative process. As manifested by the recent cases globally, this paradigm shift starts to pose real-world challenges to the good old IP system that aims to incentivize and honor human creativity. Among the various doctrinal challenges, two stand out at the moment as particularly pressing: (1) should IP protect the outputs of such human + AI (“Centaur”) creative synergies, and (2) can proprietary data be “fair used” to train Gen-AI? In the long term, how IP system addresses these challenges may have profound implications on the evolution of the Gen-AI ecosystem, and more importantly, the future of human creativity. Finding the proper answers however, requires a perspective that spans beyond the confines of IP doctrines alone – it demands solid understanding of the rapidly evolving value chain and commercialization landscape, core regulatory principles in harmony with a human-centered approach, the concrete mechanisms IP system uses to facilitate diversity and equity in creation, as well as a philosophical contemplation on what human creativity means in the dawning “age of Gen-AI”.

Against this backdrop, Berkeley Asia IP and Competition Law Center (“BAIC”) at BCLT launches the “Yuan Global Talks on Generative AI and Human Creativity.” The series is named for the Chinese “Yuan” (元), echoing the beginning of a new epoch, and “Yuan” (圆), a circle symbolizing inclusivity, equality and productive discourse – principles that happen to resonate with the hostess’ name, Dr. Yuan Hao, Senior Fellow and Co-Director of BAIC, who co-taught a brand new course titled “IP and Human Creativity in the ‘AI Age’” in the autumn of 2023. This conversation series strides beyond national borders, aiming to foster a constructive exchange between voices from diverse spheres. It is an invitation to scholars, creators, entrepreneurs and policy makers, particularly from the US and Asia, to forge a collaborated path through the evolving narrative of Gen-AI assisting, rather than displacing human creativity.

Details

Date:
January 23
Time:
4:30 pm - 6:30 pm
Event Categories:
Berkeley Law Event, MCLE
https://www.law.berkeley.edu/research/bclt/bcltevents/yuan-global-talks/

Organizer

Phone:
4086673367
Email:
jtrido@law.berkeley.edu

Other

Total MCLE Credits Offered:
2.00
Course Dates:
1/23/2024

Venue

Via Zoom