Advanced eCourse: AI Leadership in Libraries

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An ALA Continuing Education and SJSU iSchool Advanced eCourse

This course is for library professionals and staff with previous experience with AI who wish to develop leadership skills around machine learning technologies in their libraries. Students will reinforce their knowledge of machine learning concepts and concerns around this technology so that they can be instrumental in moving their organizations into the AI age while minimizing risk.

By taking this course, participants will:

  • Develop practical leadership skills for AI-related projects.
  • Reinforce existing understanding of machine learning.
  • Develop strategic opportunities and risks for libraries posed by AI.

Course Outline

  • Machine Learning Review
  • Data and Data Remediation
  • Practical experience exploring bias in machine learning
  • Environmental considerations
  • State of the AI Landscape
  • Library Use Cases and Solutions
  • Law and Copyright
  • Licensing
  • Policy Development
  • Staff Development and Change Management
  • The Future of AI
  • Implications for Libraries, Learning and Research

M Ryan Hess is Director of Strategic Library Services and Communications for SCELC, an academic library consortium composed of over 230 libraries across the United States. He is also a Lecturer at San Jose State University's iSchool. He speaks internationally on topics of digital literacy; web3 and blockchain; and artificial intelligence. He was the founder of Bay Area Library UX. Previously, he was Digital Initiatives Manager at Palo Alto City Library, delivering award-winning library experiences around technology. He also served as the Digital Services Coordinator at DePaul University Library and was a former market researcher at Adobe Systems.

If you have questions or requests regarding accessibility, contact us at ce@ala.org or at 312-280-5100.

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