795: Fast-Evolving Data and AI Regulatory Frameworks, with Dr. Gina Guillaume-Joseph

Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Jon Krohn 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

5M ago 1:07:40

MP3•에피소드 홈

Gina Guillaume-Joseph talks to Jon Krohn about the data and regulatory frameworks set to transform the AI industry and why that’s important to anyone working with data. This episode offers a solid path to understanding AI regulation’s past, present and future. Gina walks listeners through the AI Bill of Rights, the NIST AI Risk Framework and the MITRE ATLAS threat model.

This episode is brought to you by AWS Inferentia and AWS Trainium, by Crawlbase, the ultimate data crawling platform, and by Babbel, the science-backed language-learning platform. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

• What “responsible AI” means [08:14]

• Why the federal government should be behind AI regulation [12:22]

• The US vs EU on AI regulation [18:46]

• About the AI Bill of Rights [26:14]

• About MITRE and the MITRE Atlas [37:19]

• What a systems engineer does [54:11]

Additional materials: www.superdatascience.com/795

913 에피소드

#Data Science #Science #Tech #Software Development #Jon Krohn