Presented By: Michigan Institute for Data and AI in Society
An Introduction to GenAI Governance and Sensitive Data Use Guidelines at Michigan Medicine
Transforming Your Research with Generative AI tutorial series
About this session:
This session will present current discussions on governance and infrastructure for integrating generative AI tools into research and clinical operations at Michigan Medicine, including guidelines for using specific generative AI tools with sensitive data.
About the series:
Generative AI is revolutionizing the landscape of research by enabling unprecedented levels of automation and innovation, and facilitating major breakthroughs across all research fields. To leverage this, MIDAS hosts tutorials on generative AI for researchers across all disciplines at U-M. We cover topics ranging from administrative tasks, literature review and synthesis, data analysis, and writing and presentations.
If you are a U-M researcher looking to learn more about when, why, and how to integrate generative AI tools into your research, please register to join us at one of our upcoming sessions. The Fall 2024 series, co-hosted by Michigan Medicine, is open to all U-M researchers. Additionally, if you are unable to attend in person, recordings of the sessions will be available for later viewing.
No prior experience with generative AI tools is required. Participants will need to supply their own laptop for each session.
Location: Unless otherwise noted, sessions will take place at the Medical Science Building II North Lecture Hall (1137 Catherine St, Ann Arbor MI 48109).
This session will present current discussions on governance and infrastructure for integrating generative AI tools into research and clinical operations at Michigan Medicine, including guidelines for using specific generative AI tools with sensitive data.
About the series:
Generative AI is revolutionizing the landscape of research by enabling unprecedented levels of automation and innovation, and facilitating major breakthroughs across all research fields. To leverage this, MIDAS hosts tutorials on generative AI for researchers across all disciplines at U-M. We cover topics ranging from administrative tasks, literature review and synthesis, data analysis, and writing and presentations.
If you are a U-M researcher looking to learn more about when, why, and how to integrate generative AI tools into your research, please register to join us at one of our upcoming sessions. The Fall 2024 series, co-hosted by Michigan Medicine, is open to all U-M researchers. Additionally, if you are unable to attend in person, recordings of the sessions will be available for later viewing.
No prior experience with generative AI tools is required. Participants will need to supply their own laptop for each session.
Location: Unless otherwise noted, sessions will take place at the Medical Science Building II North Lecture Hall (1137 Catherine St, Ann Arbor MI 48109).
Co-Sponsored By
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