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Artificial Intelligence

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Artificial Intelligence

On October 30, President Joseph R. Biden signed an Executive Order (EO) to build U.S. capacity to evaluate and mitigate the risks of Artificial Intelligence (AI) systems to ensure safety, security, and trust while promoting an innovative, competitive AI ecosystem that supports workers and protects consumers. The U.S. Department of Commerce will play a key role in implementing the EO, combining sophisticated standards and evaluation capabilities with a robust combination of reporting requirements and voluntary measures.

Specifically, the National Institute of Standards and Technology (NIST), the Bureau of Industry and Security (BIS), the National Telecommunications and Information Administration (NTIA), and the U.S. Patent and Trademark Office (USPTO) will be responsible for carrying out a significant portion of the EO’s objectives.

“The Commerce Department plays a pivotal role in the U.S. government’s approach of seizing the potential that comes with the development of advanced AI, while mitigating dangerous capabilities or risks to safety. Today’s executive order reaffirms that leadership as our Department prepares to undertake significant responsibilities to carry out the President’s vision to build a safer, more secure world,” said Secretary of Commerce Gina Raimondo. “Building on the voluntary commitments secured from leading American companies earlier this year, the President is taking a critical step forward to facilitate and incentivize safe and responsible innovation in AI.”

Just Released for Public Comment

NIST Calls for Information to Support Safe, Secure and Trustworthy Development and Use of Artificial Intelligence

  • NIST seeks information to support its response to the Executive Order on AI.
  • Comments received will help NIST develop guidelines for evaluation and red-teaming; consensus-based standards; and more.
  • Responses are due Friday, February 2, 2024.

NIST Special Publication (SP) 800-226 Initial Public Draft (IPD), Guidelines for Evaluating Differential Privacy Guarantees 

  • This publication describes differential privacy — a mathematical framework that quantifies privacy risk to individuals as a consequence of data collection and subsequent data release.
  • Submit comments by 11:59 p.m. EST on Thursday, January 25, 2024 to privacyeng@nist.gov.
  • We encourage you to use this comment template.

 

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