The path towards trustworthy AI
51:46 Share

Elham Tabassi, the Chief AI Advisor at the U.S. National Institute of Standards & Technology (NIST), joins Chris for an enlightening discussion about the path towards trustworthy AI. Together they explore NIST’s ‘AI Risk Management Framework’ (AI RMF) within the context of the White House’s ‘Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence’.

Join the discussion)

Changelog++) members save 10 minutes on this episode because they made the ads disappear. Join today!

Sponsors:

• Timescale) – Real-time analytics on Postgres, seriously fast. Over 3 million Timescale databases power loT, sensors, Al, dev tools, crypto, and finance apps — all on Postgres. Postgres, for everything.

• Retool) – The low-code platform for developers to build internal tools — Some of the best teams out there trust Retool…Brex, Coinbase, Plaid, Doordash, LegalGenius, Amazon, Allbirds, Peloton, and so many more – the developers at these teams trust Retool as the platform to build their internal tools. Try it free at retool.com/changelog)

• DeleteMe) – DeleteMe makes it quick, easy and safe to remove your personal data online.

Featuring:

• Elham Tabassi – LinkedIn), Website)
• Chris Benson – Twitter), GitHub), LinkedIn), Website)

Show Notes:

• Elham Tabassi | NIST)

• Elham Tabassi | TIME 100 / AI)

• NIST Trustworthy & Responsible AI Resource Center)

• NIST AI Risk Management Framework (AI RMF))

• NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0) (PDF))

• NIST AI RMF Playbook)

• NIST AI RMF Development)

• NIST AI Risk Management Framework - Engage)

• NIST Risk Management Framework Aims to Improve Trustworthiness of Artificial Intelligence)

• White House Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence)

Something missing or broken? PRs welcome!)