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Keen On

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.
39:24

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • The reliance on technology risks undermining personal agency, as external digital forces increasingly shape our decision-making and identities.
  • Psychological targeting in marketing, while enhancing personalization, raises ethical concerns regarding consumer autonomy and the potential manipulation of choices.

Deep dives

The Outsourcing of Humanity to Technology

The conversation emphasizes the growing concern over how technology is increasingly taking over aspects of our humanity. Nicholas Carr's early criticisms highlight that as we become more reliant on technology, we risk outsourcing our core human traits, leaving us treated as mere data points. This shift poses a significant threat to our ability to maintain self-determination and personal agency, as many decisions are influenced by external digital forces. By framing this issue, the discussion sets the stage for a broader examination of how technology can both enhance and undermine our individual identities.

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