Description

Leilani Battle studies how software shapes what we see and believe. The University of Washington professor and co-director of the UW Interactive Data Lab talks with Michael, Hadley, and Wes about an experiment that manipulated people using nothing but loading speed, and why AI models don't seem to recommend charts the way the community that studies charts actually does. Other highlights: rationality's blind spots and a thorough disc golf origin story.

What's inside:

• Loading spinners that quietly change what people find
• AI models that don't recommend charts like humans do
• The blurry line between databases and human factors
• A behavior-change experiment for building fairer models
• Rationality's role in producing unethical outcomes
• Disc golf origin story
• A vegan pancake recipe