Close

Stanford Artificial Intelligence Event (2017 Plenary Session) @ SAIL

Live stream for the Stanford AI event (2017 Plenary Session)  scheduled from 8:30 am – 5:30 pm PST

Agenda:

8:00AM - 8:30AM Registration & Breakfast
8:30AM - 9:00AM Welcome Presented by Department and Plenary Session Chairs
Mendel Rosenblum,Stanford
Alex Aiken,Stanford
Abbas El Gamal,Stanford
Fei-Fei Li, Stanford
9:00AM - 9:20AM Seeing is Understanding, Fei-Fei Li,Stanford
9:20AM - 9:40AM Tools & Techniques: DeepDive and Snorkel: Dark Data Systems, Christopher Ré, Stanford
9:40AM - 10:00AM Tools and Techniques: Making 3D Data Universally Accessible and Useful, Leo Guibas, Stanford
10:00AM - 10:20AM Tools and Techniques: Sensing and Inference to Shape Human Behavior & Wellness, James Landay, Stanford
10:20AM - 10:30AM Brief Comments: Marc Tessier-Lavigne, President, Stanford University
10:30AM - 11:00AM BREAK
11:00AM - 11:20AM AI for Robotics: Robotic Avatars: The New Frontier of Oceanic Discovery, Oussama Khatib, Stanford
11:20AM - 11:40AM AI for Transportation: Frontiers of Computer Vision and Artificial Intelligence for Smart Vehicles, Juan Carlos Niebles, Stanford
11:40AM - 12:00PM Young Faculty: Artificial Intelligence for Sustainability, Stefano Ermon, Stanford
12:00PM - 1:15PM Lunch in McCaw Hall, Arrillaga Alumni Center
AI's Ethical Imperative: How to Humanize Machine Values
Keynote Speaker: Shannon Vallor, Professor and Department Chair of Philosophy, Santa Clara University
1:20PM - 2:20PM Industry Panel Discussion: Intelligent Machines-Seeking Benefits and Avoiding Threats, John Markoff (moderator); Panelists: Bill Dally, Stanford and NVIDIA; Nicola Morini-Bianzino, Accenture; Deepika Bodapati, Athelas; Fei-Fei Li, Stanford
2:20PM - 2:40PM AI for Smart Agents: Almond: An Open Crowdsourced Programmable Virtual Assistant for the Internet of Things, Monica Lam, Stanford
2:40PM - 3:00PM AI for Virtual Reality: Experience on Demand: What Virtual Reality Can and Can't Do, Jeremy Bailenson, Stanford
3:00PM - 3:30PM BREAK
3:30PM - 3:50PM Young Faculty: Reinforcement Learning and Education, Emma Brunskill, Stanford
3:50PM - 4:10PM Young Faculty: Interacting with Learning and Learning with Interaction, Percy Liang, Stanford
4:10PM - 4:30PM Young Faculty: Interpretable, Integrative Deep Learning for Decoding the Human Genome and Disease-Associated Genetic Variation, Anshul Kundaje, Stanford
4:30PM - 4:50PM AI for Legal Decision Making: Human Decisions and Machine Predictions, Jure Leskovec, Stanford
4:50PM - 5:30PM Student Poster Short Oral Presentations
5:30PM - 7:00PM Poster Session
Share