The NIST, at the request of the United States Congress, devised the AI Risk Management Framework (RMF) to devise a repeatable approach to creating responsible AI systems. “Without proper controls, AI ...

Today the U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) released the first version of its new AI Risk Management Framework (AI RMF 1.0), a “guidance ...

Increasing trustworthiness and mitigating risk are the two major themes of the framework, which NIST Director Laurie Locascio introduced as guidance to help organizations develop low-risk AI systems.

From heightened risks to increased regulations, senior leaders at all levels are pressured to improve their organizations' risk management capabilities. But no one is showing them how - until now.

The AI Risk Management Framework further sets the U.S. approach to the technology apart from China, which released an “ambitious” domestic AI plan in 2017, Tabassi said. “AI is here now, and it’s not ...

Security Impact Analysis in the NIST framework, at platforms such as risk optics for compliance system risk management, enables organizations to evaluate and address potential risks associated ...

NIST consulted experts, held discussions and workshops, and solicited comments before clarifying AI Risk Management Framework core outcomes, adding an audience section tied to the Organisation for ...

The NIST Cybersecurity & Risk Management Frameworks course helps you master these crucial protocols. This top-rated training offers over 21 hours of expert-led instruction covering key security ...

AI RMF 1.0 has been developed over the course of 18 months by NIST in collaboration with private- and public-sector organizations. In order to draft the framework, NIST received about 400 sets of ...