1016: In Case You Missed It in July 2026
About this episode
Jon Krohn discusses algorithmic harm and the importance of human skills in the age of AI with several guests.
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
More episodes of Super Data Science: ML & AI Podcast with Jon Krohn
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- 1023: Agentic AI Skills That Matter Now, with Aishwarya Srinivasan
- 1022: CLAUDE.md, AGENTS.md, Skills, Hooks and Subagents: A Field Guide to Steering AI Agents
- 1021: How dbt Won Analytics Engineering, with dbt Lab’s CEO Tristan Handy
- 1020: How to Choose Model Size and Effort Level: The Two Critical Dials
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