Assessing and Litigating Claims of Automation-induced Errors

Dr. Monk is an international scientific leader on driver inattention, in-vehicle safety systems, driver performance, and driver behavior. His expertise includes driver distraction, automated vehicle human-machine interactions, in-vehicle warnings and alerts, advanced driver-vehicle interfaces, alcohol and drowsy impaired driving, vulnerable road users, vehicle lighting, nighttime driving, roadway signage and lane markings, and seat belts.

Dr. Monk was the lead United States representative on a partnership between the United States, European Union, and Japan that published an international definition of distraction, a taxonomy of driver inattention, a report on cognitive workload, and an article on “out of the loop” driver interactions with advanced automated vehicles. Dr. Monk has led large-scale research programs investigating driver distraction, automation human factors, warning design, and system safety for the government, and has extensive experience in partnering with industry to accomplish research objectives. As head of human factors at the National Highway Traffic Safety Administration (NHTSA), he was responsible for developing, planning, conducting, and coordinating NHTSA’s human factors research program on advanced safety and driver information systems, automated vehicles, driver distraction and impairment, and the safe application of advanced technologies.

Prior to joining NHTSA, Dr. Monk was the Human Factors Team Leader at the Federal Highway Administration. Before that, he was an Assistant Professor of Human Factors Psychology at George Mason University in Fairfax, VA. He began his career as a human factors engineer for Toyota where he led the development of the driver-vehicle interface for the first-generation Lexus in-vehicle navigation system.

Dr. Campbell has over 30 years of experience examining issues related to human performance, human factors, driver behavior, roadway safety, and the contributing factors to roadway crashes. He has evaluated human factors aspects of traffic safety, the capabilities and limitations of road users, and the relative contributions of vehicle, infrastructure, and user factors in roadway crashes. His scientific expertise includes the design of advanced driver-vehicle interfaces, including: head-up displays, night/driver vision, collision warning, navigation, speech recognition, driver monitoring systems, advanced input devices, and interfaces for connected and automated vehicles.

He has developed design guidelines, tools, and other resources to support roadway design & operations, road safety evaluations, and diagnostic assessments of crashes that specifically involve navigation systems, icons/symbols, collision warning devices, connected vehicles, automated vehicles, and roadway design. His research has been supported by various governmental agencies, including the US Departments of Transportation (NHTSA, FHWA, & FMCSA), Defense (Army, Navy, & Air Force), and Homeland Security, the National Academy of Sciences, and the governments of Japan and Brazil.

Dr. Campbell’s on-going research projects include: (1) for the National Academy of Sciences, a project to develop improved methods and tools for identifying the contributing factors to roadway crashes, and (2) for USDOT/NHTSA, projects to assess challenges and solutions for safety issues related to driver trust, mental models, and driver engagement in highly automated vehicles.

Dr. Campbell was previously a Research Leader at the Battelle Memorial Institute where he established Battelle's Center for Human Performance and Safety in Seattle, WA. He has served as Chair and Member of committees, sub-committees, and task forces for the Transportation Research Board of the National Academies and SAE International.

"Gail is a Vice President in the Legal Department at Del Monte Fresh Produce, where she is responsible for Global Litigation, Labor & Employment, and Government Relations. She is an expert on the cybersecurity, privacy, and legal issues associated the data collected and used by emerging technologies including AI, biometric devices and sensors, autonomous vehicles, the Internet of Things, blockchain, and the metaverse. She is also one of the few defense lawyers to have been involved in the trial of a class action to verdict before a jury.
Gail has taught Law for Knowledge Innovation at Columbia University and is a Fellow at the Center for Legal Innovation at Vermont Law School. She has taught technology law courses for judges at the National Judicial College and the New York State Judicial Institute, and has guest lectured on vehicle data regulation at Stanford University, the Wharton School, and Interpol.
Gail founded and leads the Cybersecurity Subcommittee of the New York State Bar Association’s Committee on Technology and the Legal Profession and is a former Chairperson of that Committee. She also serves at Co-Chair of the National Association of Women Lawyers’ Intellectual Property & Technology Affinity Group.
An internationally recognized thought leader, Gail served as a peer reviewer for Interpol’s Framework for Responding to a Drone Incident and was a speaker at Interpol’s 2019 Car Cyber Threats Expert Group Meeting. A member of the Atomium – European Institute for Science, Media and Democracy’s AI4People Automotive Committee, she co-authored a paper, AI4People: Ethical Guidelines for the Automotive Sector – Fundamental Requirements and Practical Recommendations, that was published in the International Journal of Technoethics (Volume 12, Issue 1, January-June 2021). She is also a member of the ITU’s Focus Group on AI for Autonomous and Assisted Driving and a contributor to its recently published report, Automated Driving Safety Data Protocol – Ethical and Legal Considerations of Continual Monitoring.
Gail was selected as one the Profiles in Diversity Journal’s 2017 Women Worth Watching in STEM and one of the Connecticut Technology Council’s 2016 Women of Innovation. She is a graduate of the University of Pennsylvania Law School and served as a law clerk in the Philadelphia County Court of Common Pleas.