Department of Homeland Security Artificial Intelligence Roadmap 2024
United States. Department of Homeland Security
From the document: "While there are tremendous opportunities for AI to enhance the DHS mission, AI also introduces new challenges and risks. [...] Of particular concern are impacts of AI attacks on critical infrastructures, which could result in nefarious actors disrupting or denying activities related to Internet of Things (IoT) technologies or networked industrial systems. Generating and passing poisoned data into a critical sensor could trigger downstream impacts, such as service disruptions or system shut-offs. AI enabled technologies are also being used to undermine the trust we place in information derived from digital content and is distinct from traditional cybersecurity threats, requiring additional research to understand and build knowledge to inform protections. Similarly, while AI has already enabled innovation in the physical and biological sciences, it also has the potential to substantially lower the barrier of entry for non-experts to design, synthesize, acquire, or use chemical, biological, radiological, or nuclear weapons. Cyber and physical security is foundational to the safety and security of AI. DHS and the Cybersecurity and Infrastructure Security Agency in particular will continue to work to improve the nation's overall cyber resilience and to identify and manage risks associated with the misuse of AI/ML [machine learning] technologies. Additionally, as sector risk management agencies, TSA [Transportation Security Administration] and the United States Coast Guard will continue to assess AI-related risks across the transportation and maritime sectors."
  • URL
  • Publisher
    United States. Department of Homeland Security
  • Date
  • Copyright
    Public Domain
  • Retrieved From
    U.S. Department of Homeland Security: www.dhs.gov/
  • Format
  • Media Type
  • Subjects
    Artificial intelligence--Research
    Critical infrastructure
    Internet of things
    Deep learning (Machine learning)
  • Lists
    Nominations to Critical Releases
    Artificial Intelligence

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