

The path towards trustworthy AI (Practical AI #293)
7 snips Oct 29, 2024
Elham Tabassi, Chief AI Advisor at the U.S. National Institute of Standards & Technology (NIST), shares insights on the journey to trustworthy AI. They delve into NIST’s AI Risk Management Framework and its connection to a recent White House executive order aimed at enhancing AI safety. Tabassi emphasizes the crucial roles of explainability, reliability, and governance in advancing AI, especially in sensitive fields like healthcare. The conversation highlights the urgency for strong standards to ensure that the rapid advancements in AI remain safe and reliable.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Intro
00:00 • 3min
Building Trust in AI with NIST
03:05 • 12min
Navigating AI Explainability and Internal Software Development
15:30 • 5min
Navigating AI Governance: NIST and Executive Orders
20:40 • 6min
Navigating AI Trust and Privacy Risks
26:55 • 8min
Implementing Trustworthy AI: A Structured Approach
34:45 • 11min
The Future of Trustworthy AI: Standards, Evaluations, and Implications
46:07 • 5min