The AI Fundamentalists

Contextual integrity and differential privacy: Theory vs. application with Sebastian Benthall


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What if privacy could be as dynamic and socially aware as the communities it aims to protect? Sebastian Benthall, a senior research fellow from NYU’s Information Law Institute, shows us how privacy is complex. He uses Helen Nissenbaum’s work with contextual integrity and concepts in differential privacy to explain the complexity of privacy. Our talk explains how privacy is not just about protecting data but also about following social rules in different situations, from healthcare to education. These rules can change privacy regulations in big ways.

Show notes

Intro: Sebastian Benthall (0:03)

  • Research: Designing Fiduciary Artificial Intelligence (Benthall, Shekman)
  • Integrating Differential Privacy and Contextual Integrity (Benthall, Cummings)

Exploring differential privacy and contextual integrity (1:05)

  • Discussion about the origins of each subject
  • How are differential privacy and contextual integrity used to enforce each other?

Accepted context or legitimate context? (9:33)

  • Does context develop from what society accepts over time?
  • Approaches to determine situational context and legitimacy

Next steps in contextual integrity (13:35)

  • Is privacy as we know it ending?
  • Areas where integrated differential privacy and contextual integrity can help (Cummings)

Interpretations of differential privacy (14:30)

  • Not a silver bullet
  • New questions posed from NIST about its application

Privacy determined by social norms (20:25)

  • Game theory and its potential for understanding social norms

Agents and governance: what will ultimately decide privacy? (25:27)

  • Voluntary disclosures and the biases it can present towards groups that are least concerned with privacy
  • Avoiding self-fulfilling prophecy from data and context



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The AI FundamentalistsBy Dr. Andrew Clark & Sid Mangalik

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