← Super Data Science: ML & AI Podcast with Jon Krohn

1016: In Case You Missed It in July 2026

Super Data Science: ML & AI Podcast with Jon Krohn2026年8月7日30分

1016: In Case You Missed It in July 2026

Super Data Science: ML & AI Podcast with Jon Krohn

0:0030:27
このエピソードはアーカイブのため、日本語要約の対象外です。
番組の概要欄(原文)

In this month's episode of ICYMI, Jon Krohn traces a line from algorithmic harm to the human skills that still hold their value. Hear from Dr. Cathy O'Neil, Ben Todd, Steve Mock, and Dr. Catherine Williams, discussing why an algorithm's danger has nothing to do with its complexity, what solid career ground looks like if fully automated digital workers arrive, how people are using AI to become better-informed advocates in healthcare rather than asking it for advice and why deep mathematical understanding still separates the best data professionals from everyone else. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/1016⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (00:00) Weapons of Math Destruction, a Decade On (10:29) How to Find Solid Career Ground in the AI Era (17:41) How AI Is Quietly Saving Lives (24:59) The Math Still Matters: Deep Skills in the Age of AI

X でシェアSpotify で聴くApple Podcasts で聴く

関連エピソード