Join us on May 29th from 1-2pm ET / 10-11am PT, for a conversation on how attribution can better align AI tool development with both authors’ interests and the public good.
As AI adoption accelerates, authors have growing concerns over maintaining control of their own work that may reduce their willingness to share their research openly. Publisher licensing deals with AI companies and instances of these same companies using scholarly content without permission have raised serious questions over consent and the potential exploitation of academic works. This has prompted some authors to reconsider how they share their publications and whether to license them openly. Attribution requirements—a fundamental element of open access and open licenses—provide both a way for authors to retain credit for their contributions and a mechanism for addressing faculty concerns.
On May 29th from 1-2pm ET / 10-11am PT, SPARC will host a conversation on how attribution can better align AI tool development with both authors’ interests and the public good. The discussion will touch on the need for mechanisms integrating more accurate citations into AI tools, the ways this would positively impact authors, and implications for authors when considering whether to make their work openly available.
The webcast will feature a brief presentation by Klaudia Jaźwińska and Aisvarya Chandrasekar (Tow Center for Digital Journalism at Columbia University) of their publication, “AI Search Has A Citation Problem,” followed by a facilitated discussion with Dave Hansen (Authors Alliance), and Peter Suber (Harvard University).
This webcast is open to those working in SPARC member libraries, and you can register here.