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April 25, 2025 30 mins

This episode of I Call Bullshit examines the widespread data collection practices of AI-powered devices and platforms, exploring the implications for consumer privacy, the potential for data misuse, and the current state of regulations, while also addressing the often misleading claims of data anonymization and providing specific advice for using AI tools like ChatGPT.

Key Topics Discussed:

  • Understanding AI Data Collection:
  • Data Usage and Misuse:
    • How collected data is used to train AI models, personalize user experiences, and target advertising.
      • [5] O'Neil, Cathy. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown, 2016. (Discusses the broader implications of data-driven algorithms and their potential for bias and manipulation).
    • The potential for data breaches and misuse, referencing incidents like the DeepSeek data leak.
      • [6] Wikipedia. "DeepSeek." https://en.wikipedia.org/wiki/DeepSeek (Search for information regarding any reported data leaks or security incidents associated with DeepSeek or similar AI companies). Note: Specific details and sources regarding data leaks should be verified with reputable cybersecurity news outlets and reports.
    • The risk of bias in AI algorithms due to biased training data, leading to discriminatory outcomes.
      • [7] Noble, Safiya Umoja. Algorithms of Oppression: How Search Engines Reinforce Racism. New York University Press, 2018. (Examines how search engine algorithms can perpetuate and amplify racial bias).
      • [8] Zuboff, Shoshana. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. PublicAffairs, 2019. (A comprehensive analysis of the economic and social implications of surveillance capitalism).    
  • The ChatGPT Black Box:
    • Analysis of OpenAI's privacy policy regarding data collection, usage, and sharing.
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