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  Artificial Intelligence (AI)

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Last Updated: March 18, 2024 | Press ReleasesDepartment of Homeland Security Unveils Artificial Intelligence Roadmap, Announces Pilot Projects to Maximize Benefits of Technology, Advance Homeland Security Mission
    Secretary of Homeland Security Alejandro N. Mayorkas and Chief Information Officer and Chief Artificial Intelligence Officer Eric Hysen announced the Department of Homeland Security’s (DHS) first “Artificial Intelligence Roadmap.”
    Last Updated: March 15, 2024 | PublicationAI Roadmap
    The DHS AI Roadmap outlines our AI initiatives and the technology’s potential across the homeland security enterprise. It is the most detailed AI plan put forward by a federal agency to date, directing our efforts to fully realize AI’s potential to protect the American people and our homeland while steadfastly protecting privacy, civil rights, and civil liberties.
    Last Updated: February 6, 2024 | Press ReleasesDHS Launches First-of-its-Kind Initiative to Hire 50 Artificial Intelligence Experts in 2024
    Secretary of Homeland Security Alejandro N. Mayorkas and Chief Information Officer (CIO) and Chief Artificial Intelligence Officer (CAIO) Eric Hysen announced the Department’s first-ever hiring sprint to recruit 50 Artificial Intelligence (AI) technology experts in 2024.
    Last Updated: January 23, 2024 | Site PageLeading AI at DHS
    DHS leads in the responsible innovation and public protection missions at the intersection of artificial intelligence (AI) and homeland security. At DHS, our people keep us on the forward edge of this rapidly evolving intersection. Join us.
    Last Updated: January 19, 2024 | PublicationCommercial GenAI Resources
    View the Department’s policy and PIA, and other resources about the responsible use of commercial GenAI tools at DHS.
    Last Updated: December 21, 2023 | PublicationFoundation Models at the Department of Homeland Security
    Considered the modern-day backbone of artificial intelligence (AI), a foundation model (FM) is a type of machine learning model that is trained on a broad set of general domain data for the purpose of using that model as an architecture on which to build multiple specialized AI applications. By collapsing data and technology across use cases, FMs benefit from increases in the scale and scope of datasets to become more capable and from economies of scale in workflow to become more efficient and impactful. To better understand how we can learn from these FMs with respect to images and other data sources, which inform decision-making, this analysis examines a host of different homeland security use cases, paving the way for a safer and more resilient nation.
    Last Updated: December 21, 2023 | PublicationRisks and Mitigation Strategies for Adversarial Artificial Intelligence Threats
    This report introduces adversarial AI concepts and explores future AAI threats, risks, and mitigation strategies – to help the Department develop a risk-informed approach to mitigating AAI threats and vulnerabilities.
    Last Updated: December 14, 2023 | Press ReleasesFeature Article: Leveraging Artificial Intelligence is Smart for Explosive Detection
    S&T is harnessing the power and possibilities of artificial intelligence and machine learning to identify dangerous compounds, like those found in explosives and narcotics.
    Last Updated: November 26, 2023 | Press ReleasesDHS/CISA and UK NCSC Release Joint Guidelines for Secure AI System Development
    The U.S. Department of Homeland Security’s (DHS) Cybersecurity and Infrastructure Security Agency (CISA) and the United Kingdom’s National Cyber Security Centre (NCSC) jointly released *Guidelines for Secure AI System Development*to help developers of any systems that use AI.
    Last Updated: November 14, 2023 | Press ReleasesDHS Cybersecurity and Infrastructure Security Agency Releases Roadmap for AI
    The Department of Homeland Security’s(DHS)Cybersecurity and Infrastructure Security Agency (CISA) released its firstRoadmap for Artificial Intelligence (AI),adding to the significantDHS and broaderwhole-of-government effort to ensure the secure development and implementation ofartificialintelligence capabilities.

  
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