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This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.

This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
The Berkeley-Stanford Veridical Data Science Workshop is focused on showcasing and promoting veridical (truthful) data science (VDS) for reproducible, reliable data analysis and decision-making. It intends to build a community of veridical data science researchers for trustworthy data science, machine learning, and artificial intelligence. The discussions will promote opportunities for statisticians and data scientists to identify important VDS research topics and critical applications in academia and industry. Graduate students and early career researchers will benefit from this conference to find future research directions. Learn more about the workshop and view the full agenda
This workshop is jointly hosted by:
Berkeley Institute of Data Science (BIDS) and the Department of Statistics, parts of UC Berkeley's College of Computing, Data Science, and Society (CDSS)
Stanford Data Science Center for Open and REproducible Science (SDS-CORES)