Michael Schrage on Recommendation Engines - Episode #14
Earley AI Podcast
English - April 06, 2022 18:00 - 57 minutes - 39.2 MB - ★★★★ - 4 ratingsTechnology Business Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Stephanie Lemieux on Taxonomy & Information Architecture - Episode #13
Next Episode: Tom Davenport on Competing on AI - Episode #15
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 EnginesThanks to our sponsors:
Marketing AI InstituteCMSWireEarley Information ScienceAI Powered Enterprise BookThanks to our sponsors:
CMSWire Earley Information Science AI Powered Enterprise Book