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Stanford Psychology Podcast
144 - Sandra Matz: AI, Social Media, And Data Privacy
Jan 9, 2025
In this engaging discussion, Sandra Matz, an Associate Professor of Business at Columbia Business School and author of "Mindmasters," explores how AI and big data are reshaping our understanding of human behavior. She delves into the implications of AI on personal identity and privacy, addressing concerns about algorithmic targeting and echo chambers. Sandra also introduces innovative concepts like federated learning and data co-ops, emphasizing the need for collaborative data management to enhance privacy while harnessing AI's potential in areas like mental health and social connections.
54:23
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Quick takeaways
- AI and big data can predict human behavior by analyzing online activities, revealing deeper insights into personality traits and preferences.
- The ethical implications of psychological targeting raise concerns about narrow perspectives, as algorithms could lead to echo chambers in content consumption.
Deep dives
The Impact of AI on Human Behavior
AI and big data are increasingly used to predict and shape human behavior, as highlighted by the work of researchers which draws connections between online activities and psychological profiles. An example provided in the discussion illustrates how online behaviors, such as social media interactions and purchasing patterns, can reveal deeper insights into an individual's personality traits. Powerful algorithms can now analyze these data points with unprecedented precision, allowing even a novice user to obtain meaningful psychological insights from social media posts or search history. This shift democratizes the ability to understand personality traits, but it also raises concerns about potential misuse of such information by marketers and other entities.
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