INFO 202 Chap.6 Surveillance and Privacy
Surveillance and Privacy
The question this week sets
Week 6 of this course looks at surveillance and privacy in their digital forms, and at one idea in particular: that a government can watch and control private citizens by working through companies rather than building its own apparatus.
Two readings are assigned, Tucker's 2025 Brookings Institution piece on artificial intelligence and algorithmic exclusion and a 2023 exploratory paper by Colnago and co-authors asking whether privacy attitudes and behavior can diverge in the reverse direction.
Canvas also recommends an explainer on surveillance capitalism, a Pew Research Center report on American attitudes to data privacy, and a Washington Post feature on Amazon's smart home devices.
The smart home as a case study
The Washington Post piece by Geoffrey A. Fowler is the most concrete material for the week.
It works through Amazon's household products one at a time, from speakers and doorbells to a thermostat, a microwave and a home robot, listing what each collects and why it might matter. Its value for revision is that every abstract concept of the week appears in a specific device.
Treat it as journalism with a point of view: the author argues the home has become a surveillance system, and he notes that Amazon's founder owns his newspaper.
Why ordinary data becomes sensitive
A recurring point in the case is that individually dull readings, such as when lights switch on or what temperature a room is set to, combine into a detailed account of when a household wakes, leaves and sleeps.
The second point is about time. A promise not to sell data says nothing about how the collecting company may analyze it, and records that seem harmless when collected can gain new meaning later through fresh analysis, a breach, or a request from authorities.
Learn to name both effects separately in an answer.
The state behind the company
The week description's phrase about control through corporations becomes concrete with home security cameras. Video sits on company servers by default, law enforcement asks for it at large scale, and the company can release it in emergencies without asking the owner.
People who never bought a device, such as neighbors and visitors, are recorded too.
The case also offers the counterexample of storing video locally, which shows that where data lives is a design decision with political consequences.
Reading the assigned titles responsibly
Since the two assigned papers are cited by title here, use them for the questions they raise: how AI systems can leave some people out, and whether the familiar gap between what people say about privacy and what they do can appear in reverse.
Build your answers on concepts you can define and on the case evidence you can cite.
What this chapter covers
- 01
The week's focus: surveillance, privacy and state control through corporations
- 02
Amazon's smart home as a case of domestic data collection
- 03
Aggregation: how trivial readings combine into a household profile
- 04
Later use: reanalysis, theft and government access
- 05
Doorbell cameras, police requests and consent
- 06
Bystanders and neighbors as people exposed without choosing
- 07
Late and partial privacy controls: delete versus stop collecting
- 08
The privacy paradox and the question of a reverse paradox
- 09
Surveillance capitalism and public attitudes as recommended context
Worked example · free
Explain how everyday home data becomes sensitive without new collection
- 2Explain aggregation: many trivial readings combine into a picture of routines.
- 2Explain later use: stored data gains new meaning through reanalysis, theft or government access.
- 2Show why a no-sale promise leaves both concerns in place.
Key terms
- Data Aggregation
- The combining of many individual data points into a larger record. In privacy analysis it matters because harmless readings can together reveal routines, relationships or health that no single reading shows.
- Inference
- A conclusion a system or analyst draws about a person from data they did not directly provide, such as guessing when someone is asleep from thermostat and lighting patterns.
- Function Creep
- The gradual expansion of a system or dataset into uses beyond the purpose for which it was introduced, such as home security video becoming a resource for law enforcement.
- Privacy Paradox
- The observed gap between people's stated concern about privacy and their readiness to disclose personal data in practice. Research on it asks whether attitudes or behavior better reflect real preferences.
- Ambient Intelligence
- Amazon's term, as reported in the case, for a home in which connected devices sense and respond to occupants automatically, powered by the personal data those devices collect.
- Bystander Privacy
- The privacy interest of people who are recorded or analyzed by a device they did not buy or agree to, such as neighbors filmed by a doorbell camera.
- Local Processing
- Storing and analyzing data on a device in the home rather than on company servers. It narrows who can reach the data, including the company and outside authorities.
- Data Retention
- How long a company keeps collected data and under what rules. Retention settings such as auto-delete limit exposure over time but differ from stopping collection altogether.
Surveillance and Privacy FAQ
How can a company watch you for the government without being a government agency?
When private devices store recordings on company servers, authorities can ask the company for them instead of collecting evidence themselves. The case describes police making very large numbers of requests for doorbell video and some footage being released without owner consent. The state gains reach it never built, which is the pattern this week calls control through corporations.
What is the difference between deleting data and not collecting it?
Deletion removes records after they have existed for some period, during which they can be analyzed, breached or requested. Not collecting means the records never exist. The smart home case notes that for some connected devices users could only choose an auto-delete window, so exposure was reduced but not prevented.
Why do people say they care about privacy but still buy smart devices?
This gap is known as the privacy paradox. Common explanations include convenience outweighing distant risks, privacy controls that are hard to find or incomplete, and harms that fall on others such as neighbors. One assigned paper asks whether the gap can also appear in the opposite direction, so be precise about which version you mean.
Exam move
Pick five devices from the smart home case and build a table with four columns: what it collects, what that could reveal once combined, who besides the owner can reach it, and whether collection can be stopped or only deleted. Then write one paragraph linking the doorbell row to the week's idea of state control through corporations. Practice saying which concept each row illustrates in a single clause.
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