Observe
A camera, sensor, or digital record captures a moment in public life.
KORU CHAPTER 02 · PUBLIC INTEREST, NOT SECURITY THEATRE
Surveillance rarely arrives as one obvious decision. It accumulates through cameras, data links, software, contracts, legal powers, and the institutions expected to oversee them.
THE CONTEXT
Public surveillance is often discussed as a count: how many cameras are installed in a city, or which country has the most. Counts matter, but they are incomplete. The practical effect of a camera can change when it is connected to private footage, linked to live analytics, used to search a face, hosted under a particular legal regime, or governed by strong or weak safeguards.
This is why the monitor does not produce a single “most surveilled” score. It follows the system around the device, and makes each claim inspectable on its own terms.
THE SURVEILLANCE STACK
The steps below are not inevitable. They describe the points where public oversight, legal limits, and human judgment can matter.
A camera, sensor, or digital record captures a moment in public life.
Private footage, public networks, or cloud systems can make an observation easier to find or share.
AI can identify a face, count a crowd, detect a vehicle, or generate an alert from that record.
Law, oversight, human review, remedy, and public scrutiny determine what must justify that power.
Public space is not an exemption from privacy.
People should not need specialist technical knowledge, access to procurement databases, or legal training to begin asking informed questions about public surveillance. Journalists, researchers, civil-society groups, policymakers, and residents need a shared starting point that shows both the documented evidence and the limits of that evidence.
The public cannot meaningfully debate a system that has been reduced to slogans. A defensible discussion needs sources, scope, dates, uncertainty, and a way to see how the pieces relate.
A USEFUL RECORD FOR DIFFERENT PEOPLE
The monitor does not ask every visitor to become a surveillance specialist. It gives each audience a clear first question and a route into the same public record.
Begin with a country file, then see the place, the source, and the unanswered questions.
Inspect the public recordUse dated sources, scope notes, supplier attribution, and history as a starting point for local reporting.
Open sourcesTurn a documented record or a visible gap into a precise accountability question, not an assumption.
See the gapsCompare use purpose, AI role, supplier evidence, safeguards, and routes for correction before asking for trust.
Read the methodWHAT THIS CHAPTER OFFERS
The value of the monitor is not that it has the final answer. Its value is that it makes a complicated public question easier to examine, compare, correct, and act upon.
Explore the country recordsEvery public claim should lead to a source, a date, and a named scope, not an unexplained red flag.
Camera presence, AI capability, private-camera links, data infrastructure, and safeguards are related, but not interchangeable.
Missing or non-comparable evidence is part of the public record. It is never converted into a reassuring zero.
A useful monitor is a living record: sources can be challenged, additions can be reviewed, and changes can be tracked.
WHY THIS PROJECT, WHY THIS BUILDER
Who Is Watching? is being built as a KORU public-interest research practice: trace the source, separate observation from inference, retain the uncertainty, and make it possible for others to challenge the record. The project does not ask visitors to accept a founder’s verdict on a country or technology.
Its creator’s role is more useful than that: to turn fragmented technical, policy, and rights evidence into a legible tool that more people can use. The credibility test is therefore visible in the work itself, its method, its sources, its scope notes, and its willingness to show what remains unknown.
Inspect the source ledgerTHE NEXT QUESTION
The AI Use Scope layer begins to answer that question by separating application, setting, decision role, scale, and stated safeguards. It is deliberately not an AI risk score.
Open AI use scope