AI & the Research Cycle (Phase IV: Licensing, Copyright & Research Impact)
Scope
Artificial Intelligence is rapidly transforming every stage of the research cycle, from discovery to dissemination. This series will explore the evolving role of AI in shaping research workflows, addressing both the opportunities and challenges it presents. Join experts across various fields as they delve into how AI is enhancing research processes, improving efficiency, and raising new questions about ethics, transparency, and the future of knowledge creation. Join us for the conclusion of our AI & the Research Cycle series with Phase IV.
Confirmed Speakers include Leo Lo, Dean of Libraries, University of Virginia; and Lui Simpson, Executive Vice President, Global Policy, Association for American Publishers (AAP). Todd Carpenter, Executive Director, NISO, will serve as the moderator for this program.
Event Sessions
Speakers
Todd Carpenter, Executive Director, NISO, served as the moderator for this program.
The following questions were posed to our speakers:
What are concerns around protection of content, both from the perspective of publishers and academics?
How does copyright protect those values?
What are some of the concerns that publishers/librarians have regarding the use of AI systems, and how can we use systems like copyright, licensing, as well as skills like information literacy, to support end-users’ experience with AI tools?
There certainly are a lot of moving pieces when it comes to the state of copyright and AI right now in the courts; can you provide a quick summary of the most relevant?
To what extent is the tension and relationship between open access content vs. licensed content?
What are some of the concerns here, and is there any way to address them, perhaps through licensing, through the CC Signals, or other limitations on training AI systems?
As we consider some of the impacts of AI systems, what are the impacts on teaching and learning outcomes?
How are institutions thinking about AI tools in their educational mission?
How are guardrails being instituted?
How are institutions purchasing AI tools thinking about the source materials that go into training AI systems?
Much like the discussions around indexing data systems a decade ago, are institutions questioning (or getting answers to) “what content was ingested to make this system?”
Related Information and Shared Resources:
Understanding CC Licenses and Generative AI by Kat Walsh: Many wonder what role CC licenses, and CC as an organization, can and should play in the future of generative AI. The legal and ethical uncertainty over using copyrighted inputs for training, the uncertainty over the legal status and best practices around works produced by generative AI, and the implications for this technology on the growth and sustainability of the open commons have led CC to examine these issues more closely. We want to address some common questions, while acknowledging that the answers may be complex or still unknown.
ChatGPT is eating the world: a free newsletter
Copyright and Artificial Intelligence (from the U.S. Copyright Office: Since launching an initiative in early 2023, the Copyright Office has been examining the copyright law and policy issues raised by artificial intelligence (AI), including the scope of copyright in AI-generated works and the use of copyrighted materials in AI training.
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Event Dates
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