
Michael Schrage on Recommendation Engines - Episode #14
About this episode
In this episode, Seth and Chris talk with Michael Schrage, Fellow at MIT Sloan School's Center for Digital Business and author of the book, "Recommendation Engines."
Highlights:
3:44: checkered past
12:50: covering the overwhelming nature of technology
15:50: why do people make decisions
18:21: Perfect choice-what are the right choice architectures?
24:25 Recommendation engines: The hand you're delt - how the bluff matters
26:15: How do we use tools and technologies to come up with better and more reliable advice?
32:50: Ethical topics
49:06: What impact does good advice have on agency and autonomy
52:30: What Michael is working on next
Links:
- Book: Recommendation Engines
Thanks to our sponsors:
Thanks to our sponsors:
Get every episode summarized
Each time Earley AI Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Earley AI Podcast

Earley AI Podcast - Episode 97: Biological Computing, Brain-Derived Algorithms,...
Earley AI Podcast

Earley AI Podcast - Episode 96: AI in Clinical Trials, the Vibe Coding Fallacy,...
Earley AI Podcast

Earley AI Podcast - Episode 95: Contract Intelligence, Context Engineering, and...
Earley AI Podcast

Earley AI Podcast - Episode 94: Cybersecurity, AI Risk, and Why Security Is a Sa...
Earley AI Podcast