Jason A. Clark
Lead, Research Optimization, Analytics, and Data Services (ROADS)
Montana State University
With new artificial intelligence (AI) demonstrations and generative computing models coming online almost daily, AI and data science can have the appearance of the wondrous and magical. And yet, hidden within this excitement are corollary thoughts about employee displacement and obsolescence. In this session, we will look at project examples and models that Montana State University Library is beginning to employ to balance the wonder of AI while honoring constructive criticism around library implementations. The projects follow principles centered on being: dialogic, playful, transparent, and iterative. The goal is to socialize responsible AI and data science implementations while recognizing the humanity our employees bring to these applications. Attendees will come away with ideas about how to align AI with the values of cultural heritage institutions and how technology prototypes can facilitate dialogue in your organization; they will also learn how the question of human-machine relationships is about organizational culture as much as it is about technology implementation.
*Inspiration for this talk derived from the recently awarded Institute of Museum and Library Servies (IMLS) grant – Responsible AI for Libraries. A brief mention of the research goals and open calls for participation on the grant will be included.
Recently awarded IMLS grant:
Responsible AI for Libraries: https://www.imls.gov/grants/awarded/lg-252307-ols-22
Image classifier: https://github.com/jasonclark/image-classifier
Voice interface for digital collection: https://github.com/jasonclark/voice-user-interface
Archive Bot: https://github.com/jasonclark/archive-bot
NLP Text Summarization for Citizen Science: https://github.com/msulibrary/msu-article-summarization