Prof. J. Christian Gerdes, PhD
Professor of Mechanical Engineering & Director, Stanford Center for Automotive Research (CARS), Dynamic Design Lab & Revs Program (formerly Chief Innovation Officer, U.S. Department of Transportation)
Brigadier General R. Patrick Huston
Assistant Judge Advocate General, U.S. Army
Thursday, January 9
Day One: The Verticals
8:00-9:00am | Registration and Continental Breakfast
9:00-9:15am | Chair’s Welcome, Logistics, and Announcements
Institute Chair: Stephen S. Wu, Silicon Valley Law Group, San Jose, CA
9:15-10:15am | Introduction to the Legal Issues of AI & Robotics
The rise of artificial intelligence and robotics in a number of industries and sectors is posing significant challenges for both companies and the agencies that regulate them. The news media are filled with stories about the threats of AI, and how society should respond to AI challenges is one of the most hotly contested debates today. Product developers, companies, lawyers and regulators are struggling with the swift pace of change and determining the most effective way to regulate and govern robots and AI systems. Specific issues include protecting the public from the premature deployment and marking of immature technologies, the scope of human responsibility for AI behavior, how to make AI accountable for its own actions, and how to regulate non‐human behavior. This panel will provide an overview of the technologies, the developments giving rise to the AI and robotics revolution, and the areas of legal practice affecting AI and robotics, such as compliance, transactions, liability, investigations, and governance.
Jimmy Kim, Built Robotics, San Francisco, CA
Giancarlo Mori, Movyl Technologies, San Francisco, CA
Christopher J. Savoie, Zapata Computing Inc, Boston, MA
Stephen S. Wu, Silicon Valley Law Group, San Jose, CA [Moderator]
10:15-11:15am | AI, Automation, and the Future of Transportation
Highly automated vehicles have the potential to dramatically reduce the frequency and severity of accidents. Aerial drones and more exotic forms of transportation systems are now under discussion to enhance mobility. Despite the potential benefits, automated transportation systems potentially expose manufacturers to a wide variety of safety, cybersecurity, and systemic risks. Future transportation modes will rely on complex algorithms to predict the movements of other vehicles, pedestrians, and other stationary objects and react accordingly. This panel will cover the liability and insurance implications of AI‐fueled future transportation modes.
Nandi Chhabra, Peloton Technology, Mountain View, CA
Selina Pan, Toyota Research Institute, Los Altos, CA
Phillip Zackler, Toyota Research Institute, Los Altos, CA
11:30am-12:30pm | AI and Robots in the Healthcare Setting
AI has the potential of revolutionizing healthcare, including by assisting in differential diagnosis of illness, scanning images to detect disease (better than human doctors), predicting outcomes, and suggesting treatment options. Robots in the operating room assist human doctors in performing surgeries more precisely with better outcomes and fewer complications. Service robots in hospitals, clinics, and nursing homes may perform logistical tasks to support healthcare operations. This panel will discuss compliance and effects of AI and robotics on accreditation, malpractice and product liability implications, system procurement issues, and implementation best practices.
Prof. Christopher P. Hess, MD, PhD, University of California, School of Medicine, Department of Radiology and Biomedical Imaging, San Francisco, CA
Stephen Mutkoski, Microsoft Corporation, Mountain View, CA
Marissa R. Urban, Google, Mountain View, CA
12:30-1:30pm | Lunch
1:30-2:30pm | AI in Financial Services
Increasingly, FinTech companies are employing AI to solve customer issues at financial institutions. From artificial intelligence applications to track customer account activity and customer spending and investing decisions, to fraud detection and underwriting of loans, AI is becoming more prevalent. While artificial intelligence holds the promise of efficiency and better decision‐making, the potential for liability is growing. How are banks, investment firms, insurance companies, and other financial services firms preparing for and managing AI‐related liabilities within their organizations?
Laura O. I. Lemire, Microsoft Cloud and AI, Microsoft Corporation, Redmond, WA
Deon Woods Bell, U.S. Federal Trade Commission, Office of International Affairs, Washington, DC
Theodore F. Claypoole, Womble Bond Dickinson LLP, Atlanta, GA [Moderator]
2:30-3:30pm | Ethics of the Use of AI in the Practice of Law
AI and robotics have the potential to help solve some of the world's most challenging social problems, including saving lives lost to traffic accidents, diagnosing cancer, and aiding disaster‐relief efforts. These technologies also raise important societal and ethical concerns, including algorithmic discrimination and job displacement. This panel will discuss some of the significant issues raised by the tension between AI for the global good and potential harmful impacts of AI. The panel will also examine the intersection between law and ethics, including the legal implications of pursuing what might be perceived as “ethical” design choices.
Adam Nguyen, ebrevia, San Francisco, CA
Prof. Drew Simshaw, Gonzaga University School of Law, Spokane, WA
Rafael Baca, R Baca Law Firm PLLC, Palo Alto, CA [Moderator]
3:45-4:45pm | AI and Robots in the Workplace
The world will see the widescale deployment of robots in the workplace that will work side by side with human workers. We can learn from the experiences with industrial robots in automobile factories and tool and die plants to understand the new robot‐filled workplace. In addition, artificial intelligence systems are helping recruiters and human resource professionals hire and manage an enterprise’s workforce. Such systems, however, entail the possibility of algorithmic bias that may expose employers to liability under employment laws. Moreover, ever greater amounts of data upon hiring and gathered by workplace systems may make employment practices ever more intrusive. This panel will discuss the labor and employment law compliance issues with employers using robots and AI systems.
Natalie A. Pierce, Littler Mendelson PC, San Francisco, CA
R. Jason Straight, Ankura, New York, NY
Austin Tarango, Google AI, San Francisco, CA
4:45-5:00pm | Preview of Day Two
Chair: Stephen S. Wu, Silicon Valley Law Group, San Jose, CA
5:00-5:45pm | Keynote Speaker
Prof. J. Christian Gerdes, PhD, Professor of Mechanical Engineering & Director, Stanford Center for Automotive Research (CARS), Dynamic Design Lab & Revs Program (formerly Chief Innovation Officer, U.S. Department of Transportation)