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A Transformative Reason to Start MLA ’24 a Day Early

If you are a library or health information professional planning to attend MLA ’24, consider arriving a day early to attend the AI Summit: Why AI? Transforming the Health Information Profession. The summit will equip you with the understanding needed to meet the challenges and opportunities of artificial intelligence across all areas of the work of health information professionals, introduce you to leaders in this dynamic space, and allow you to connect with and learn from colleagues creating AI, using AI, and managing the effects of AI in the health sciences information landscape.

The first session, Why AI? Is AI Here to Stay, Transformative, or Disruptive?, offers you an overview and introduction to key innovations and trends driving the uptake and adoption of AI through presentations and a dynamic discussion among panelists working in different arenas of AI and health information. You’ll gain insights into:

  • The National Library of Medicine’s (NLM) work on data management
  • Advancements in the application of LLMs (large language models) and other AI-enhanced tools in biomedical research and searching
  • Ways in which vendors are addressing ethics in AI
  • How academic health sciences and hospital libraries are addressing and investigating the challenges of AI.

In the second session, you’ll participate in small group discussions with fellow attendees, focusing on how generative AI is affecting libraries and information work in the present and future. You’ll share uses of AI you have observed or participated in at your institution, challenges you are facing, insights into how AI will change your work and the work of library users, and identify opportunities for using AI at your institution. The ideas from the groups will be summarized using a generative AI tool, presented later in the Summit and at the closing session of MLA ’24, and will help shape MLA’s future offerings in AI-related training and education.

Expect a productive and valuable discussion in the third session, Skills, Expertise, and Roles in AI-Driven Change in Health Sciences Information. Through presentations of case studies of successful AI projects, a facilitated panel discussion, and open questions from the audience, you’ll gain actionable knowledge on:

  • Implementing AI ethically and effectively in your institution
  • Facilitating the professional development of those serving on the frontlines of information services
  • Building teams to successfully launch and sustain AI-based projects
  • Identifying projects where AI capability or tools would enhance outcomes.

To register for the Summit, visit the conference registration page and include it in your conference registration or add it to your existing registration.


Dianne Babski, MIM, Director for User Services and Collection Division, National Library of Medicine 

David Dorr, MD, MS, FACMI, FAMIA, Professor of Medical Informatics and Clinical Epidemiology, School of Medicine & Chief Research Information Officer, Oregon Health & Science University (OHSU)

Kristi Holmes, PhD, Director, Galter Health Sciences Library & Associate Dean for Knowledge Management and Strategy, Northwestern University Feinberg School of Medicine

Michelle Kraft, MLS, AHIP, FMLA, Cleveland Clinic Health System, Director of Library Services

Claudine Lott, MD, Physician Executive, Elsevier

Anne Seymour, MS, Associate Dean and Director, Welch Medical Library & Assistant Professor, Department of Medicine-Biomedical Informatics and Data Science Section, Johns Hopkins University & Medicine

Natalie Buda Smith, Director of Digital Strategy, OCIO, Digital Strategy, Digital Innovation (Labs), and Connecting Communities Digital Initiative (CCDI)


Sponsored in part by Elsevier


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