This webinar will explore the role of libraries in enhancing social and cultural inclusion through ML/AI adoption.

Machine Learning (ML), Deep Learning and Artificial Intelligence (AI) applications are revolutionizing librarianship, offering opportunities for personalized user services and streamlined workflows. However, as libraries embrace these technologies, it’s essential to consider the risks associated with global inclusiveness. ML and AI developments, including natural language processing and semantic analysis, hold promise for advancing DH/DS practices and fostering social progress. Yet, there’s a need to ensure that these technologies promote inclusivity and minimize bias for all linguistic identities and social groups.

Join us to delve into practical strategies for leveraging ML/AI to foster diversity, equity, and accessibility in libraries and society. Together, we’ll explore how libraries can embrace innovative technologies to better serve communities and promote inclusivity in a rapidly evolving digital landscape.

The program will include a keynote, three speakers from across the globe, and a Q & A moderated discussion. See below for the speaker’s names and topics. More info to come!

Keynote

  • Paul Gooding, University of Glasgow, UK,  “Global Inclusiveness and Local Contextuality: Supporting Responsible AI in Libraries for Indigenous Communities”
  • Sümeyye Akça, Marmara University, Turkey “Classifying Kadi Registers Using the BERT Model”
  • Trevor Watkins, George Mason University, US “Project MOCA: Addressing Bias in Conversational AI”