FDNV: Primer on Persistent Surveillance

Federal Defender of Nevada: Primer on Persistent Surveillance (Mar. 28, 2025):

The Third-Party Doctrine “Gray Area”?
The Third-Party Doctrine was created in an era when data sharing was inherently more difficult and far less intrusive. In today’s AI punctuated world, where data collection is pervasive and often unavoidable, applying this outdated doctrine threatens Fourth Amendment protections. Courts must reconsider how privacy rights function in a digital age where AI and automated data collection make traditional legal distinctions obsolete.

In Fourth Amendment jurisprudence, the Third-Party Doctrine states that people do not have a reasonable expectation of privacy for information they voluntarily share with third parties, such as banks, phone companies, or internet service providers. Cases like Smith v. Maryland, 442 U.S. 735 (1979) and United States v. Miller, 425 U.S. 435 (1976), came long before the rise of modern digital technology and artificial intelligence. In today’s AI-fueled world, defense lawyers should argue that this doctrine is outdated because:

  1. Massive Data Collection by AI and Other Digital Services
  • The data collected today by AI-powered systems is drastically different from what companies used to collect about customers and users. The data is both quantitatively and qualitatively different than when the Third-Party Doctrine emerged.
  • AI algorithms can analyze and infer highly personal details from data patterns, making simple metadata (such as location or browsing history) far more revealing than ever before.
  1. Lack of True Voluntariness
  • People today rely on AI-powered digital platforms for nearly every aspect of life, from social media to cloud storage, health tracking, and smart devices. These technologies collect vast amounts of personal data passively—without the user actively “volunteering” it in the way envisioned under the Third-Party Doctrine.
  • Courts originally upheld the doctrine because individuals “knowingly” shared information with third parties. But AI-powered applications collect data automatically through terms of service that most people do not fully read or understand, and there’s often no way to opt-out. This undermines the idea that users knowingly and voluntarily surrender their privacy.
  1. AI Enables Predictive Policing and Warrantless Surveillance
  • AI algorithms, combined with vast third-party databases of private user information, purport to enable law enforcement to predict behavior, track movements, and even analyze biometric data without needing a warrant.
  • Predictive policing, facial recognition, and social media monitoring blur the line between legitimate investigations and unconstitutional surveillance.
  1. Supreme Court’s Recognition of Changing Privacy Expectations
  • In Carpenter v. United States, 585 U.S. 296 (2018), the Supreme Court ruled that law enforcement must obtain a warrant to access historical cell-site location data, signaling a shift away from the rigid application of the Third-Party Doctrine.
  • The Court recognized that digital-era data is fundamentally different from traditional business records, as it provides an intimate window into a person’s life.
  1. Potential for AI to Exacerbate Privacy Violations
  • AI can aggregate third-party data to create detailed profiles of individuals, sometimes revealing sensitive information (e.g., health conditions, religious beliefs, or political affiliations) that the user never explicitly shared.
  • Law enforcement could exploit AI-driven insights without constitutional safeguards, leading to excessive and discriminatory surveillance.
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