AI Assurance in Transportation
As new AI technologies emerge across the transportation ecosystem, HASS COE is leading USDOT efforts to identify the challenges, opportunities, risks, and priorities for AI assurance. To promote coordination and collaboration across all Operating Administrations, we organized a series of workshops and whitepapers to review and explore current AI assurance processes and technologies in use across transportation modes. The effort will also develop an initial AI and data assurance framework, define common terminology, identify opportunities for intermodal knowledge sharing, and develop AI assurance coordination plans.
Whitepapers
Read our recent publications in the AI Assurance for Transportation Whitepaper Series:
Workshops
Drawing from the Federal Aviation Administration’s (FAA’s) AI roadmap experience, the AI Assurance workshops enable coordination, collaboration, and knowledge sharing, based on current and future use cases, in AI and data assessment, assurance, and risk assessment and mitigation technologies, and support ongoing regulatory efforts in transportation automation. The workshops featured academic and industry partners and facilitated knowledge exchange and collaboration on AI assessment and assurance for applications in highly automated transportation systems. The workshops explored the needs, challenges, current objectives, and potential solutions for AI assurance across all modes of transportation.
The USDOT AI Assurance Workshop on May 29-30, 2024, which was open to the public, engaged and supported collaboration with the transportation research community. Hosted by HASS COE and co-organized by the FAA Senior Technical Experts Program and the Intelligent Transportation Systems Joint Program Office, the virtual workshop featured keynotes, technical talks, and panel discussions with academia. Session topics focused on government AI safety programs, research needs and priorities, risk assessment and mitigation, data assurance, design time assurance, and operation time assurance.
Watch the recordings:
Day One of the USDOT AI Assurance Workshop on May 29-30, 2024
Day Two of the USDOT AI Assurance Workshop on May 29-30, 2024
Speakers included:
Panagiotis Anastasopoulos (University of Buffalo), Ella Atkins (Virginia Tech), Stanley Bak (Stony Brook University), Denise Bakar (USDOT), Guillaume Brat (NASA), Brian Cronin (USDOT), Missy Cummings (George Mason University), Dionisio de Niz (Carnegie Mellon University), Jyotirmoy Vinay Deshmukh (University of Southern California), Chuchu Fan (MIT), Feng Guo (Virginia Tech), Robert Hampshire (USDOT), Phil Koopman (Carnegie Mellon University), Neeraj Koul (USDOT), Taylor Lochrane (USDOT), Srini Mandalapu (USDOT), Corina Pasareanu (Carnegie Mellon University), Trung Pham (USDOT), Johann Schumann (KBR/NASA), Bob Sheehan (USDOT), Craig Thor (USDOT), Alvaro Velasquez (DoD), Yinhai Wang (University of Washington), Michael Warren (HRL Laboratories), Huafeng Yu (USDOT), Qi Zhu (Northwestern University).
Check back for announcements regarding future AI Assurance workshops.
If you are navigating new AI challenges, lack experience in AI assessment and assurance, interested in exploring state-of-the-art AI safety technologies and frameworks, or want to better understand AI’s safety impacts, you are encouraged to attend future workshops.
For more information on the AI Assurance program, contact Taylor Lochrane (taylor.lochrane@dot.gov), Huafeng Yu (Huafeng.Yu@dot.gov), or Denise Bakar (Denise.Bakar@dot.gov).
Contact Us
Denise Bakar
Communications Manager
denise.bakar@dot.gov
General Inquiries
hass-coe@dot.gov
