About AI Salon
AI Salon is a roughly bi-weekly event on Fridays where the AI Lab gathers to discuss high-level topics in AI and machine learning. The goal is to encourage ourselves to think beyond our individual day-to-day research, and better see how our work fits into the long-term trajectory of scientific progress, and into society as a whole. Each Salon has a different topic for discussion, which is led by two speakers: typically one expert guest, and one AI Lab member. We hold the event in the spirit of Enlightenment-era salons, with no electronics or whiteboard allowed: only free-ranging discussion among attendees, starting with a 10-minute opening statement from the two speakers.
For the 2019-2020 academic year, Hugh Zhang (firstname.lastname@example.org) and Shushman Choudhury (email@example.com) are the organizers of AI Salon.
Time and Place
AI Salon is typically held in Room 219 (2nd floor open area) of the Gates Computer Science building. The event is held from 4-5pm, with refreshments served from 3:45pm.
AI Salon is open to all current Stanford students, postdocs and faculty. We particularly welcome those who can bring interdisciplinary perspectives to the event. Due to space limitations, any other attendees must be invited by a current member of the AI Lab.
Occasionally, AI Salon is opened up to the public – for example the AI Salon with Yann LeCun on February 2, 2018. However, this is an exception to the usual format.
AI Salon announcements are automatically sent to the firstname.lastname@example.org mailing list. If you would like to receive notifications about upcoming AI Salon events and are not already on the ai-all list, please join the email@example.com mailing list.
Note: you can join the ai-salon-announce even without a @stanford.edu email address. Subscribing to the ai-salon-announce list is fully automatic; follow the link and follow the instructions. You do not need to email anyone to get on the ai-salon-announce list.
|10/18/2019||AI & Government||Dan Ho & Shireen Santosham|
|11/1/2019||AI & Climate Change||David Rolnick, Sharon Zhou & Cindi Thompson|
|11/15/2019||AI & Legal Responsibility||Bryan Casey & Jerry Kaplan|
|11/22/2019||Has the AI Revolution Come Yet?||Emma Brunskill & Michael Jordan|
|12/6/2019||AI & Medicine||Nigam Shah & Elizabeth Mormino|
|1/10/2020||AI & the Mind||Barbara Tversky & Fei-Fei Li|
|1/24/2020||Unique Challenges of Physical AI Systems||Manuela Veloso & Dorsa Sadigh|
|2/28/2020||Future of NLP||Michael Auli & Chris Manning|
|10/23/2020||AI and the Future of Work: Societal Impact and Considerations||Susan Athey & Michael Chui|
|11/20/2020||The Quest of Understanding Inductive Biases in Humans and for Machines||Sam Gershmam & Sergey Levine|
|2/19/2021||AI in Computational Drug Discovery||Peyton Greenside & Ron Dror|
|3/5/2021||Decentralized Compute for AI||Greg Bowman & Percy Liang|
|4/23/2021||RL for Robotics||Chelsea Finn & Jie Tan|
|5/28/2021||AI x Healthcare||Matthew Lungren & Serena Yeung|
|10/9/2020||Is Consciousness a Condition for Intelligence?||Wayne Wu & Wojciech Zaremba|