Safety as a Right: The Case for Ubiquitous Surveillance
Insights from the TED episode “Can a Camera on Every Corner Make Us Safer? | Garrett Langley | TED”, published July 17, 2026.
In "Can a Camera on Every Corner Make Us Safer? | Garrett Langley | TED" (TED, July 2026), garrett Langley argues that modern public safety is a data problem, not a resource one. By deploying objective, AI-driven vehicle tracking, law enforcement can move away from subjective, biased policing toward precise, evidence-based intervention. He contends that the societal trade-off is necessary to ensure safety is a universal right rather than a…
In "Can a Camera on Every Corner Make Us Safer? | Garrett Langley | TED" (TED, July 2026), the intended audience is: Policy makers, urban planners, and technology ethicists concerned with the intersection of public safety and civil liberties.
Garrett Langley argues that modern public safety is a data problem, not a resource one. By deploying objective, AI-driven vehicle tracking, law enforcement can move away from subjective, biased policing toward precise, evidence-based intervention. He contends that the societal trade-off is necessary to ensure safety is a universal right rather than a privilege for the affluent.
Policy makers, urban planners, and technology ethicists concerned with the intersection of public safety and civil liberties.
Topics: Public Safety, Surveillance Technology, Data Privacy, Law Enforcement, AI Ethics
Yedapo reads podcasts and YouTube for you. Summaries, key takeaways and Ask AI for thousands of episodes.
Garrett Langley argues that modern public safety is a data problem, not a resource one. By deploying objective, AI-driven vehicle tracking, law enforcement can move away from subjective, biased policing toward precise, evidence-based intervention. He contends that the societal trade-off is necessary to ensure safety is a universal right rather than a privilege for the affluent.
Sign up free to unlock the full analysis, chapters, key concepts, and Ask AI.
Save this summary
Export to Markdown, Obsidian, or Notion — a Pro feature.