IBM Research | What's Next in AI : AI We Can Trust @ibmresearch | Uploaded November 2020 | Updated October 2024, 4 days ago.
Tune in to our multi-stream event spanning three weeks in November and featuring the AI scientists developing AI technologies for real-world implementation.
Leaders agree Artificial Intelligence technologies are key to competitive advantage in the 21stCentury, but only a fraction of organizations are successfully executing in AI. In this virtual event, scientists and business experts from the MIT-IBM Watson AI Lab come together to review three key barriers to adoption –trust, scalability, and reasoning –and how we can solve these challenges through scientific advancement.
11/05 AI We Can Trust
11/12 AI We Can Scale
11/19 AI We Can Reason With
Here are the details from the discussion in this video
9:05 Welcome and Introduction Mark Weber
9:15 AI Science for Real-World Impact Aude Oliva
9:30 Business Discussion Mark Weber, Aude Oliva, David Cox
9:45 Certifying Robustness Lily Weng
10:00 Business Discussion Mark Weber, Lily Weng, and David Cox
10:15 Safe AI Armando Solar-Lezama
10:30 Business Discussion Mark Weber and Armando Solar-Lezama
10:45 Algorithmic Fairness Mikhail Yurochkin
11:00 Business Discussion Mark Weber, Mikhail Yurochkin, and Sherif Botros
11:15 Identifying unreliable predictions in clinical risk models Collin Stultz
11:30 Business Discussion Mark Weber, Collin Stultz, Jianying Hu and Ron Lancaster
11:45 Closing thoughts and preview of the next session Mark Weber, Aude Oliva, David Cox
Tune in to our multi-stream event spanning three weeks in November and featuring the AI scientists developing AI technologies for real-world implementation.
Leaders agree Artificial Intelligence technologies are key to competitive advantage in the 21stCentury, but only a fraction of organizations are successfully executing in AI. In this virtual event, scientists and business experts from the MIT-IBM Watson AI Lab come together to review three key barriers to adoption –trust, scalability, and reasoning –and how we can solve these challenges through scientific advancement.
11/05 AI We Can Trust
11/12 AI We Can Scale
11/19 AI We Can Reason With
Here are the details from the discussion in this video
9:05 Welcome and Introduction Mark Weber
9:15 AI Science for Real-World Impact Aude Oliva
9:30 Business Discussion Mark Weber, Aude Oliva, David Cox
9:45 Certifying Robustness Lily Weng
10:00 Business Discussion Mark Weber, Lily Weng, and David Cox
10:15 Safe AI Armando Solar-Lezama
10:30 Business Discussion Mark Weber and Armando Solar-Lezama
10:45 Algorithmic Fairness Mikhail Yurochkin
11:00 Business Discussion Mark Weber, Mikhail Yurochkin, and Sherif Botros
11:15 Identifying unreliable predictions in clinical risk models Collin Stultz
11:30 Business Discussion Mark Weber, Collin Stultz, Jianying Hu and Ron Lancaster
11:45 Closing thoughts and preview of the next session Mark Weber, Aude Oliva, David Cox