AI Surveillance

A security guard once sat in a back room watching twelve grainy monitors. The cameras recorded; the watching was human. That arrangement is over. Cameras now interpret. They decide what counts as an event, who counts as a person of interest, and — in growing numbers of deployments — what should happen next.
AI Surveillance is a careful, evidence-based account of that shift. Drawing on court filings, regulatory texts, peer-reviewed research, vendor documentation, and the investigative journalism that brought specific cases to public attention, Jose Valladares walks the reader from the technical foundations of modern computer vision through the legal, ethical, and political questions the technology is forcing every society to answer.
The book examines what AI surveillance is and how it actually works — from convolutional neural networks and face embeddings to gait analysis, voice identification, and behavioral prediction. It then traces where the technology is being deployed: in public spaces and on city streets, in policing and at borders, in war, in workplaces, in schools, and in hospitals. It documents what goes wrong, from the wrongful arrests of Robert Williams and Porcha Woodruff to the asymmetries of algorithmic risk scoring and the demographic gaps in face-recognition accuracy.
Each section moves from the technical to the human. The security argument is taken seriously and tested against its empirical record. The privacy problem is examined not as an abstract right but as a concrete set of harms — chilling effects on speech, the erosion of public anonymity, the disproportionate surveillance of already vulnerable populations. The control problem asks who is accountable when a machine's prediction sets a chain of human consequences in motion.
The book then turns to the harder questions. Who owns the data that AI systems train on? What does meaningful consent look like in a world of ambient sensing? How are the EU AI Act, GDPR, the United States' patchwork of sector laws, and the absence of comprehensive regulation in other jurisdictions shaping what surveillance is permitted? And what is the ethics of watching when the watcher is not human?
A closing section looks forward — to smart cities, drones, smart glasses, the connected world, and the surveillance economy that increasingly underwrites all of it. It ends with a discussion of what citizens, journalists, lawmakers, and technologists can still do to keep meaningful human control over decisions that consequentially shape lives.
Across eighteen chapters in five parts, AI Surveillance offers neither a manifesto nor a panic. It offers what the subject most needs: a clear, honest, citation-anchored account of what is happening, what we know about it, and what it means.
Includes extensive endnotes and a selected bibliography.