Artificial Intelligence, Robotics, and Autonomous Transportation Systems
Artificial Intelligence (AI), simply put, is the use of science and engineering to create increasingly capable intelligent systems that will benefit society. AI will not supplant human intelligence, rather, it will augment our intellectual reach. In the process, AI will enable the creation of safer, more efficient, and more reliable systems that will, in many instances, drive down societal costs associated with mistakes in human behavior. This is particularly true in the area of autonomous transportation systems – highly autonomous and intelligent systems represent the future of mobility.
We recognize that AI-driven systems touch nearly every aspect of our lives – from smart trains, planes, and automobiles using autonomous transportation systems to cell phone technology and wireless technology using V2V and V2I networks, infotainment and gaming, nano-technology, medical devices, surgical robots, pharmaceuticals, and food. It is impacting the delivery of legal services, manufacturing – robotics, health care delivery (diagnosis and treatment), DNA synthesis sequencing and genomics, banking and finance, online retail sales and customer service, predictive purchasing, and applications for smart homes.
AI is guiding, perhaps driving, these industries into the future and along the way, the companies that are developing the underlying AI technology, as well as the industries utilizing this technology, require the advice of capable legal counsel. Eckert Seamans is a firm of diverse practice groups who work collaboratively across our offices to develop solutions for companies developing or utilizing AI technology. We have represented companies in these industries by providing advice in the following areas:
- Product Liability/Commercial Litigation & Counseling
- Cybersecurity, Data Security, and Privacy
- Insurance/Risk Management
- Regulatory/Government Affairs
- Intellectual Property/Software Technology & Licensing
- Aviation & Unmanned Aircraft Systems
- Transportation/Public Transit
- Health Care
- Labor/Employment and Employee Benefits
- Municipal Law & Governance
- Environmental, Health, and Safety
- Alternative Energy/Renewables & Clean Technology
Our primary focus is on providing these services to meet the needs of robotics/software engineering companies developing AI technology and manufacturers that employ this technology in the automotive, trucking, rail, aviation, agricultural, and maritime industries as well as manufacturing companies using AI/robotic technology in the medical device, pharmaceutical, health care, consumer product, food product, and industrial product, chemical, and heavy industries.
- American Association of State Highway Officials: Fast Act Reauthorization
- Governors Highway Safety Association: Autonomous Vehicles Meet Human Drivers: Traffic Safety Issues for States
- Insurance Institute for Highway Safety:
- Mobileye: On a Formal Model of Safe and Scalable Self-driving Cars
- National Highway Traffic Safety Administration:
- 2016 Fatal Motor Vehicle Crashes: Overview
- 2016 Quick Facts
- 2017 Fatal Motor Vehicle Crashes: Overview
- Automated Driving Systems 2.0
- Cybersecurity Best Practices for Modern Vehicles
- Fatality Analysis Reporting System Encyclopedia
- Human Factors Design Guidance for Level 2 and Level 3 Automated Driving Concepts
- Preliminary Statement of Policy Concerning Automated Vehicles
- Voluntary Safety Self-Assessment
- Nature – International Journal of Science: “The Moral Machine Experiment”
- New York City Department of Transportation: NYC DOT Connected Vehicle Pilot (Video: Part 1, Part 2, Part 3)
- Pennsylvania Department of Insurance:
- Pennsylvania Department of Transportation:
- RAND Corporation: Autonomous Vehicle Technology: A Guide for Policymakers
- SAE International: Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems
- Securing America’s Future Energy: Findings of the Commission on AV Testing and Safety
- University of Virginia Center for Transportation: Glossary of Connected and Automated Vehicle Terms
- U.S. Department of Transportation:
- Connected Vehicle Pilot Deployment Program
- Notice of Request for Comments – Preparing for the Future of Transportation – Automated Vehicles 3.0
- Pilot Program for Collaborative Research on Motor Vehicles with High or Full Driving Automation
- Preparing for the Future of Transportation: Automated Vehicles 3.0 (AV 3.0)
News & Insights
U.S. DOT Releases Updated Autonomous Vehicle Policy
NTSB Shares Investigation Findings and Recommendations Regarding March 2018 Uber ATG Fatality
Latest Update to Eckert Seamans’ Autonomous Vehicle Legislative Survey
Lyft Releases Data Set on Level 5 Autonomous Vehicles and Hosting Competition on Use of Data
National Institute of Standards and Technology Seeking Comments on Development of Artificial Intelligence Standards
FDA Proposes New Regulatory Framework of AI-Based Software as a Medical Device
SAE, Ford, GM, and Toyota Form Automated Vehicle Safety Consortium — Self-Driving Safety Partnership
Tesla Lawsuit Claims Ex-Employee Misappropriated Trade Secrets
AAA Survey Reveals Driver Fears with Autonomous Vehicles
A New Federal Council Aims to Help Advance Autonomous Vehicle Technology
Pittsburgh Mayor Signs Executive Order Regarding Autonomous Vehicle Testing
FDA Educating to Improve Regulatory Review of AI-Driven Technology
Apple Awarded Patent for Augmented Safety Restraint
The Convergence of AI and Medicine: A Physician’s View
Creating a Framework to Measure Safety in Autonomous Vehicles
Automotive Manufacturers, Technology Companies Among Those Teaming Up to PAVE the Way for Autonomous Vehicle
Uber Resumes Testing of Its Autonomous Vehicles After Significant Changes to Its Safety Plan
Artificial Intelligence and Corporate Governance Issues
Lyft Granted Patent for “Talking Cars”
FDA and Artificial Intelligence in Digital Health Innovation
Other News and Insights
- Autonomous Vehicle Legislative Survey — October 2019 Edition, compiled by Jodi Dyan Oley, Karen O. Moury, and Monakee D. Marseille, updated quarterly since October 2018.
- “How AI Will Change Environmental Compliance,” by David A. Rockman, Bloomberg Environment, October 2018.
- “Insurance In The Age of Vehicle Autonomy And Ride-Sharing,” by Robert V. Campedel, Law360, September 2018.
- “Product Liability For Online Marketplaces And Car-Sharing,” by Steven R. Kramer, Law360, September 2018.
- “The Next Big Thing May Be Very Small” by Steven R. Kramer, National Law Journal, April 2007.
- “How Binding Is That 30(b)(6) Testimony?” by Steven R. Kramer, Law360, July 2018.
- “Corporate Designee Practice Under NY V. Federal Rules,” by Steven R. Kramer, Law360, April 2018
- Dennis P. Ziemba served as a panelist for “A Design Process for Autonomous Vehicle Decision-making Frameworks,” and Steven R. Kramer for “Advanced Driver Assistance Systems” at the Product Liability Advisory Council (PLAC) Fall Conference, November 2018.
Related Practice Areas
Cybersecurity, Data Protection & Privacy
Intellectual Property Litigation
Unmanned Aircraft Systems (UAS)
Employee Benefits & Executive Compensation