What You Know About Intelligence is Wrong (fi...

In the final episode of our Recommender Systems season, we explore the growing questions of trust, manipulation, privacy, fairness, sustainability, and user control. From fake reviews and shilling attacks to explainable recommendations and user-selected algorithms, we look at wha ...  Show more

In part two of the Data Skeptic Recommender Systems season finale, Kyle asks a deceptively difficult question: what should recommender systems actually optimize for? Drawing on conversations from across the season, the episode explores engagement, filter bubbles, popularity bias, ...  Show more

It's kind of a podcast cliche - one that I'm certainly guilty of - to refer to an interview as, "wide-ranging." However, in this case, that description certainly fits.

I had the pleasure of chatting with <a href= "https://www.calstatela.edu/nss/psychology/henry-d-schlin ...

Daniel and Kelly answer listener questions about how we measure and define intelligence, hypotheses for why it arises, and why flies are so dumb. See omnystudio.com/listener for privacy information. 

What is intelligence? If we look hard, can we find it in unexpected places: not just in brains but in all kinds of structures? How should we recognize it? And what does any of this have to do with a bipedal dog born without front legs, or making small new organisms out of single ...  Show more

From the time we are schoolchildren, we are ranked and sorted based on how smart we are. But what if our assumptions about intelligence limit our potential? This week, psychologist Scott Barry Kaufman proposes a more expansive notion of what it means to be "smart."

If ...