Enforcing Trustworthy AI Standards and Best Practices in Analytical Projects

Explore the National Institute of Standards and Technology (NIST) AI Risk Management Framework in this 44-minute conference talk from All Things Open 2024. Gain comprehensive insights into implementing trustworthy and responsible AI practices across four key functions: govern, map, measure, and manage. Learn how to adopt NIST's detailed recommendations for analytical projects, focusing on measurements, standards, and legal metrology that ensure traceability and quality assurance. Discover essential strategies to prevent disparate impact and potential harm in analytical models while understanding the roles and expectations of users involved in building responsible analytics. Master the implementation of harmonized documentary standards and regulatory practices that align with NIST's portfolio of recommendations for trustworthy AI development.