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“Applying AI: Risks and Benefits in Health Science Education” is presented by a team of experts from University of Kansas Medical Center (KUMC): Peter Johnson, MISLT, Head of Research and Learning; Prasanna Vaduvathiriyan, MLS, AHIP-D, Biomedical Librarian; and Perry T. Weidling BSN, MLIS, Research and Learning Librarian.
Artificial Intelligence (AI) technologies are increasingly shifting how information and evidence is discovered, accessed, and utilized in academic health education teaching and instruction environments by both educators and learners. This shift extends to both the curriculum and clinical levels within evidence-based health education programs and represents opportunities and risks that librarians and health information professionals must be aware of and address to continue effectively meeting educator and learner support needs.
Join University of Kansas Medical Center (KUMC) librarians as they discuss the foundational knowledge of AI, specific roles and benefits AI can bring to health education, and the ethical concerns, trends, and risk mitigations librarians and information professionals should remain aware of as they continue to teach and support learning within health education spaces.
The Network of the National Library of Medicine is funded by the National Library of Medicine, National Institutes of Health, Department of Health and Human Services. Learn more at https://nnlm.gov
To claim MLA CE: http://www.nnlm.gov/hb1025
By NNLM Region 3“Applying AI: Risks and Benefits in Health Science Education” is presented by a team of experts from University of Kansas Medical Center (KUMC): Peter Johnson, MISLT, Head of Research and Learning; Prasanna Vaduvathiriyan, MLS, AHIP-D, Biomedical Librarian; and Perry T. Weidling BSN, MLIS, Research and Learning Librarian.
Artificial Intelligence (AI) technologies are increasingly shifting how information and evidence is discovered, accessed, and utilized in academic health education teaching and instruction environments by both educators and learners. This shift extends to both the curriculum and clinical levels within evidence-based health education programs and represents opportunities and risks that librarians and health information professionals must be aware of and address to continue effectively meeting educator and learner support needs.
Join University of Kansas Medical Center (KUMC) librarians as they discuss the foundational knowledge of AI, specific roles and benefits AI can bring to health education, and the ethical concerns, trends, and risk mitigations librarians and information professionals should remain aware of as they continue to teach and support learning within health education spaces.
The Network of the National Library of Medicine is funded by the National Library of Medicine, National Institutes of Health, Department of Health and Human Services. Learn more at https://nnlm.gov
To claim MLA CE: http://www.nnlm.gov/hb1025