Register now. You can register for one or more Fast Forward sessions or for the entire conference series (with a corresponding discount and bonuses). The choice is up to you. If one of the dates doesn’t work, you can access the recorded session for 30 days (just not for CLE credit) – one advantage over an in-person conference.
12:00-1:00 pm ET
On Board with AI: Corporate Governance and AI Management
Speaker: Cynthia Cwik
1:15-2:15 pm ET
National Security S.H.I.E.L.D: Protecting AI and Robots
U.S. national security will depend heavily on remaining competitive in AI and robotics. New export control regulations on the horizon could limit the ability to transfer AI and robotics technologies overseas or even to disclose these technologies to foreign persons within the U.S. Moreover, enhanced rules for the Committee on Foreign Investment in the U.S. (CFIUS) may restrict foreign acquisition and other corporate transactional activities regarding domestic businesses in this area. At the same time, the U.S. Department of Defense must acquire new AI and robotics defense technologies driven by lightning-speed innovation in the private sector. This panel will cover legal issues involved with keeping the nation safe in the AI era.
NOTE: This session will NOT be recorded and will be available only during the LIVE Broadcast.
Speaker: Roland Trope
2:30-3:30 pm ET
Unsafe at Any Speed? Clearing the Standard of Care Bar for AI Systems and Robots
When it comes time to deploy new AI and robotics system, manufacturers and buyers want safety. But how safe is safe enough? Some companies push out products and services aggressively, stating that they save lives, reduce greenhouse gases, and so on. How should a business determine how much it should spend on safety programs to make a product safe and avoid product liability? How can it avoid going broke spending on safety while not incurring potentially company-ending liability? Using examples such as autonomous vehicles, this panel will examine where the law should set the standard of care (e.g., at the human level or perhaps higher) and how sellers and buyers of these technologies can mitigate their product liability risks.