

Episode 2300: Sandra Matz makes the Case for a Data-Driven Science of Predicting and Changing Human Behavior
Jan 11, 2025
Sandra Matz, a computational social scientist and professor at Columbia Business School, advocates for using data science to predict and influence human behavior. She delves into the impact of AI on consumer choices and the ethical challenges of psychological targeting. Matz discusses the importance of data privacy, especially in personality tests and mental health applications, highlighting the need for regulation in the fast-evolving tech landscape. Her insights urge us to consider both the potential and risks of AI in shaping our lives.
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Episode notes
1 2 3 4 5 6
Intro
00:00 • 2min
Exploring the Balance Between Data Risks and Human Empowerment
01:51 • 2min
The Impact of AI on Consumer Choices
03:37 • 11min
Personality Tests and Data Privacy
14:57 • 12min
The Challenges and Necessities of Regulating Artificial Intelligence
27:19 • 2min
AI and Behavioral Nudges in Mental Health
29:23 • 10min