Unpacking NIST’s New AI Risk Management Framework
The new framework aims to improve trustworthiness and governance of emerging artificial intelligence technologies.
At the beginning of the year, the National Institute of Standards and Technology (NIST) released its AI Risk Management Framework (AI RMF) along with an AI RMF Playbook and an AI RMF Roadmap to guide the future of artificial intelligence development. Chief of Staff of the agency’s Information Technology Laboratory Elham Tabassi explains the framework’s collaborative development and how it incorporates trustworthiness considerations into the design, development, use and evaluation of AI products, services and systems.
-
Elham Tabassi Chief of Staff, Information Technology Laboratory NIST
-
Energy Researchers Aim For Holistic Approach to AI Issues
A new center at the Oak Ridge National Laboratory is looking at under-researched areas of AI to better understand how to secure it.
2m read -
5 Predictions for AI in Government Technology
Federal agencies are setting plans in motion not only integrate artificial intelligence into their enterprises, but also ensuring the data and algorithms that power these systems are fair and ethical.
David Egts, field CTO for MuleSoft Global Public Sector at Salesforce, breaks down the five predictions he has for AI in 2024. Egts highlights ways government leaders can prepare their agency and workforce to innovate for resilience, augment teams with AI and automate predictive AI to augment generative AI.
-
How Agencies are Upskilling the Workforce in AI
Federal officials are putting in place new training and education methods to ensure its overall workforce understands the technology.
3m read -
Building Better Data Governance Across FDA
The agency is using emerging technology to tackle its data challenges.
19m listen
