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Groundbreaking Framework for the Safe and Secure Deployment of AI in Critical Infrastructure Unveiled by Department of Homeland Security

November 19, 2024 3:57 PM | Anonymous

Reposted from CISA/DHS

In case you missed it, the Department of Homeland Security (DHS) released a significant set of recommendations aimed at advancing the safe and secure deployment of Artificial Intelligence (AI) in critical infrastructure. The Roles and Responsibilities Framework for Artificial Intelligence in Critical Infrastructure (the "Framework") provides essential guidance to stakeholders across the AI supply chain, from cloud providers and developers to critical infrastructure operators and civil society. This collaborative Framework, developed with insights from the DHS Artificial Intelligence Safety and Security Board—a public-private advisory group with leaders from industry, academia, civil society, and government—marks a critical step forward in ensuring the responsible use of AI in essential services that Americans rely on every day.

Key Highlights of the Framework:

 Collaborative Guidance: The Framework includes specific actions for key stakeholders—cloud and compute providers, AI developers, critical infrastructure owners, civil society, and public sector entities—to mitigate risks, safeguard consumer rights, and promote safe and transparent AI practices.

 Comprehensive Coverage: It addresses vulnerabilities unique to AI in critical infrastructure, such as attacks using AI, attacks targeting AI systems, and design failures, while also supporting a "Secure by Design" approach for AI developers.

 Endorsement from Leadership: DHS Secretary Alejandro N. Mayorkas emphasizes the transformative potential of AI in strengthening U.S. critical infrastructure resilience, urging leaders across sectors to embrace and implement the Framework.

If widely adopted, this voluntary Framework will not only improve the safety and reliability of critical services like power, water, and telecommunications but also build trust and transparency between entities involved in AI development and deployment.

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