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The path towards trustworthy AI
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/changelogDeleteMe – DeleteMe makes it quick, easy and safe to remove your personal data online. Featuring: Elham Tabassi – Website, LinkedInChris Benson – Website, GitHub, LinkedIn, XShow Notes: Elham Tabassi | NISTElham Tabassi | TIME 100 / AINIST Trustworthy & Responsible AI Resource CenterNIST AI Risk Management Framework (AI RMF)NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0) (PDF)NIST AI RMF PlaybookNIST AI RMF DevelopmentNIST AI Risk Management Framework - EngageNIST Risk Management Framework Aims to Improve Trustworthiness of Artificial IntelligenceWhite House Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial IntelligenceSomething missing or broken? PRs welcome! ★ Support this podcast ★
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