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The National Cybersecurity Center of Excellence (NCCoE) has released a new final project description, Mitigating AI/ML Bias in Context: Establishing Practices
Photonic thermometers – which measure temperature using light – have been around in optical fiber form for decades. These devices, called fiber Bragg gratings
NIST is seeking comments on a second draft of the NIST Artificial Intelligence Risk Management Framework (AI RMF). The AI RMF is intended for voluntary use in
Researchers at the National Institute of Standards and Technology (NIST) have developed a new statistical tool that they have used to predict protein function.
The U.S. Department of Commerce, NIST, FinRegLab, and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) hosted a symposium on "Artificial
Today, the U.S. Department of Commerce announced the appointment of 27 experts to the National Artificial Intelligence Advisory Committee ( NAIAC), which will
Discovering diseases early can mean successful treatment for patients, but many diagnostic tests aren’t sensitive enough for early detection. That’s why NIST
Seeking to promote the development and use of artificial intelligence (AI) technologies and systems that are trustworthy and responsible, NIST today released
As a step toward improving our ability to identify and manage the harmful effects of bias in artificial intelligence (AI) systems, researchers at the National
Industry is increasingly using artificial intelligence to aid analysis and decision-making. It is also recognizing the need to evaluate these tools with respect
At its 2021 Conference, the Prognostics and Health Management Society held a panel on Qualifying Data and Data Use Assuring Data Capability for Intelligent
At its 2021 meeting, the Institute for Operations Research and the Management Sciences held a panel on Testing and Evaluating Industrial AI and Risk Management
On January 12, 2022, 40 ITL staff members were honored for their exceptional accomplishments during the 2021 NIST Awards Ceremony. The following ITL staff
NIST has developed for public review a concept paper for the Artificial Intelligence Risk Management Framework (AI RMF). The paper incorporates input from a
The US and United Kingdom (UK) will collaborate on bilateral innovation prize challenges to advance privacy-enhancing technologies (PETs). These technologies
More than 800 participants joined the first day of NIST’s workshop to help develop an AI Risk Management Framework (AI RMF). Registration for the remainder of
“Learn what makes NIST's 'secret sauce' for impactful work” in AI. That’s how the “In AI We Trust” podcast series characterized a recent podcast discussion with