Practical AI The path towards trustworthy AI
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Oct 29, 2024 
Elham Tabassi, Chief AI Advisor at NIST, Avthar Suothin from Timescale, and David Hsu, CEO of Retool, dive into the essential topic of trustworthy AI. They discuss NIST's AI Risk Management Framework and its pivotal role in ensuring safe AI development, particularly in sensitive areas like healthcare. The conversation highlights privacy concerns in data management and the importance of transparent frameworks. They also explore the evolution of AI risk management and the significance of community feedback in shaping effective guidelines.
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NIST's Role in AI
- NIST acts as a central interface between government and industry regarding AI technologies.
- They facilitate collaborations and address trust in technology by developing standards and measurement science.
AI Trust in Healthcare
- Elham Tabassi uses medical imaging as an example to explain AI trust in healthcare.
- Accuracy, security, privacy, and explainability are crucial for building trust in AI diagnostic systems.
Impact of the Executive Order
- The White House Executive Order on AI builds upon NIST's prior work like the AI RMF.
- It directs NIST to create evaluations, guidelines, standards, and testing environments to ensure trustworthy AI.