Stewardship, Preservation and AI Technologies: Early Thoughts

Location

KIPJ Theatre

Session Type

40-minute concurrent session

Start Date

30-4-2024 1:45 PM

End Date

30-4-2024 2:25 PM

Abstract

Various systems incorporating AI and Machine Learning Technologies are becoming pervasive, and recently have captured the attention of a significant part of the population. The capabilities of these systems are also evolving rapidly. Yet very little consideration has been given to how we might preserve such systems, what we might realistically want to capture and what we pragmatically are likely to be able to capture; indeed, limited progress has been made even on pre-requisite first steps, such as describing and documenting such systems. In this talk, I'll open an exploration of these issues (at a high level) and consider how this relates to other better examined stewardship problems, such as very large scale social media systems.

Comments

Clifford Lynch has led the Coalition for Networked Information (CNI) since 1997. CNI, jointly sponsored by the Association of Research Libraries and EDUCAUSE, includes about 200 member organizations concerned with the intelligent uses of information technology and networked information to enhance scholarship and intellectual life. CNI’s wide-ranging agenda includes work in digital preservation, data intensive scholarship, teaching, learning and technology, and infrastructure and standards development. Prior to joining CNI, Lynch spent 18 years at the University of California Office of the President, the last 10 as Director of Library Automation. Lynch, who holds a Ph.D. in Computer Science from the University of California, Berkeley, is an adjunct professor at Berkeley’s School of Information. He is both a past president and recipient of the Award of Merit of the American Society for Information Science, and a fellow of the American Association for the Advancement of Science, the Association for Computing Machinery, and the National Information Standards Organization. He served as co-chair of the National Academies Board on Research Data and Information from 2011-2016. His work has been recognized by the American Library Association’s Lippincott Award, the EDUCAUSE Leadership Award in Public Policy and Practice, and the American Society for Engineering Education’s Homer Bernhardt Award.

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Apr 30th, 1:45 PM Apr 30th, 2:25 PM

Stewardship, Preservation and AI Technologies: Early Thoughts

KIPJ Theatre

Various systems incorporating AI and Machine Learning Technologies are becoming pervasive, and recently have captured the attention of a significant part of the population. The capabilities of these systems are also evolving rapidly. Yet very little consideration has been given to how we might preserve such systems, what we might realistically want to capture and what we pragmatically are likely to be able to capture; indeed, limited progress has been made even on pre-requisite first steps, such as describing and documenting such systems. In this talk, I'll open an exploration of these issues (at a high level) and consider how this relates to other better examined stewardship problems, such as very large scale social media systems.