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AI is advancing rapidly at the cognitive tasks that make up knowledge work, raising fears among firms, policymakers, and, not least, workers of a “China shock” for white-collar jobs. Neil Thompson will present new research on whether those fears are warranted.

AI is advancing rapidly at the cognitive tasks that make up knowledge work, raising fears among firms, policymakers, and, not least, workers of a “China shock” for white-collar jobs. Neil Thompson will present new research on whether those fears are warranted.
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 Stanford Quantitative Sciences Unit and Stanford Data Science are pleased to present a new series of symposia focused on Al for Data Science.
Please join us for an engaging and interactive symposium where world experts on Al for Data Science will gather to discuss numerous topics including:
How Al can be integrated into the workflow of data scientists to gain efficiency and advance translational research
The challenges and solutions of integrating Al into the workflow concerning rigor and ethics
The implications of Al integration on training the next generation of data scientists, and more
