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Symposium on AI for Data Science Part 1: Integrating AI into the Data Scientist’s Workflow

The focus: integrating AI into the data scientist’s workflow, discuss challenges and solutions, implications for the next generation, where we would address how the field is/should be evolving, how graduate programs should accommodate, and what is needed to support the training/education of the next generation.

Speakers/participants include Lloyd Minor, Ruth O’Hara, Michael Pencina from Duke, Sylvia Plevritis, Sara Singer, Melissa Bondy, Michelle Williams (former Dean of Harvard’s School of Public Health), Steve Goodman, and Nigam Shah

Tuesday, December 3, 2024 9:00AM-3:00PM

Li Ka Shing Conference Center, Berg Hall B&C, 291 Campus Drive, Stanford, CA 94305

REGISTER TODAY: https://bit.ly/3NOw4p6

This is a free event. Lunch and light refreshments will be served.

Special Guest Speakers

Panelists and Moderators

Register here: https://bit.ly/3NOw4p6

Join an interaction session to test GenAI models for potential issues

Please join us for an interaction session to test GenAI models for potential issues with biases, inaccuracies, and other matters related to healthcare.   Red-teaming is a form of evaluation that elicits model vulnerabilities that might lead to undesirable behaviors. We will be looking for such behaviors on healthcare-related tasks.

All faculty, graduate students and postdocs are welcome.  We will break into groups with table leaders from Stanford Healthcare, School of Medicine, CS and external partners providing technical and clinical insights. At the end we’ll have a read-out of findings, and then continue the conversations during happy hour.

REGISTER HERE

Date: October 25th
Location: Chem-H Building Room E241
Agenda:
3:00pm | Check in begins
3:15pm | Table groups begin Red Teaming
4:45pm | Happy hour
6:00pm | Event concludes
If you have questions, please contact Roxana Daneshjou or Karen Matthys. Faculty, if you’re interested in leading a table group please let us know.

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