Understanding AI Risks in Transportation: AI Assurance for Transportation Whitepaper Series

Details

• Corporate Creators:
  United States. Department of Transportation. Highly Automated Systems Safety Center of Excellence
• Contributors:
  Yu, Huafeng ; Hulse, Daniel ; Irshad, Lukman ; Bakar, Denise
• Corporate Contributors:
  NASA System-Wide Safety Project
• Subject/TRT Terms:
  • Artificial intelligence
  • Automated vehicle control
  • Automation
  • Intelligent transportation systems
  • Intelligent vehicles
  • Transportation system management
  • Automatic data collection systems
  • Risk management
  • Risk analysis
  • Safety
  More +
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. Department of Transportation
• Abstract:
  Our first AI Assurance (AIA) whitepaper, An Overview of AI Assurance for Transportation, was published in April 2024. One of the identified key areas for AIA research is AI risk assessment and mitigation, which has not been explored sufficiently in the past. To promote and accelerate research efforts to address AI risks, this whitepaper-as the second in the series-provides fundamental information about AI risks and their associated techniques in the context of Highly Automated Transportation Systems (HATS).
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/78595/dot_78595_DS1.pdf
• File Type:
  [PDF - 3.96 MB]
• Collection(s):
  Artificial Intelligence Deployment Center of Excellence (AI COE) ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:a4680e64db79fa7b7beaf2a52201bef3ab2fe0848153d14566871e144955a72523c328f365e909d5073fd8215cbbf8a877898a3157eb02188ee4aab72125847c