humanities-lab worked example · a critical technology analysis

Worked example · model research project

Do facial-recognition systems have politics? A critical analysis of automated facial recognition through the course's lenses

A fully worked argumentative research project for Technology and the Making of the Modern World (IE Humanities, Dr. Patrick De Oliveira). It is a model — not a template to copy — of what a strong essay looks like when the course's historical frameworks are turned on a present-day technology. It takes one artifact, automated facial-recognition technology (FRT), and reads it the way the course reads the power loom, the railroad, or the bomb: as a human creation that reorganizes how power is distributed across society, and as a site of contestation rather than a verdict of progress.

Everything below is written by hand and grounded in named sources, in keeping with the course's strict no-AI policy. Use it to see how a thesis is built, layered on evidence, tested against counter-positions, and connected back to the readings and the interactive demos.

CourseTech & the Modern World
TypeArgumentative essay
Length~3,000 words
Core lensWinner · Benjamin
Sessions exercised1–2, 6–9, 21–22, 25–27
ObjectsFRT · the camera

1. Project overview

What the project asks of you, which course sessions it exercises, and what you hand in. A good critical-analysis project does not summarize a technology; it makes an arguable claim about how that technology distributes power, and defends it with evidence the way the course's readings do.

goalThe analytical goal

Choose one contemporary technology and analyze it using the course's central premise: that technologies are not neutral forces of progress but human creations that reorganize power, and that they are best understood as contested terrain rather than as engines that determine history. The deliverable is an argument, not a report. The reader should be able to disagree with your thesis — which means it must be a claim, not a description.

This worked example takes facial recognition because it lets every major course framework do real work: Winner's question of whether an artifact "has politics," Benjamin's refusal of the progress-only story, Headrick's account of technologies of control, and the historiographical habit of reading primary sources against scholarly ones. (Social-media recommendation algorithms make an equally strong subject; see §7 Extensions.)

sessionsSessions and skills exercised

The project deliberately reaches across the syllabus rather than living in one week. It draws its core lens from Sessions 1–2 (Situating the Machines / "Do Artifacts Have Politics?"), its model of technologies-of-control from Sessions 6–9 ("Tools of Empire" and Empire & Mobility), its institutional account of state-and-research power from Sessions 21–22 (the Military-Industrial-Academic Complex), and its grounding in the digital age from Sessions 25–27 (Dominance of the Digital / Computers: A Human History). It practises the course's signature skills: building a layered argument, sorting primary from secondary sources, and naming the determinist fallacies that simplistic tech writing relies on.

deliverableThe deliverable

A roughly 3,000-word argumentative essay with: a clear thesis stated up front; a multi-part argument in which each section advances a sub-claim backed by named evidence; explicit engagement with at least two serious counter-arguments; a reflection on power and ethics; and a full reference list distinguishing primary from secondary sources. No code, no models — the work is interpretive and historical, exactly as the course requires. The structure below maps one-to-one onto sections 2 through 8 of this page.

2. The brief & the thesis

A project lives or dies on its thesis. Before writing it, the analyst frames the problem, the question, and the stakes — then commits to a single contestable claim that the rest of the essay has to earn.

The brief

Facial recognition is routinely sold as a neutral convenience: it unlocks a phone, speeds a border queue, "finds" a suspect. The dominant public story is a progress story — better cameras, better algorithms, safer streets. The course trains us to distrust exactly that framing. The brief, then, is to ask of FRT the question Langdon Winner asked of Robert Moses's low bridges over the parkways of Long Island: does this artifact, in its very design and deployment, settle a political question about who is seen, sorted, and controlled — and on whose terms? [1]

The research question

In what sense does facial-recognition technology "have politics," and what does reading it through Winner and Benjamin reveal that the progress narrative conceals? The question is historical as much as it is contemporary: FRT is the latest instance of a long lineage of technologies of identification and control, from the colonial census and the fingerprint file to the punch-card tabulator.

Thesis

Facial recognition is not a neutral tool that merely accelerates a pre-existing task. Following Winner, it is political in both of his senses: particular systems are designed in ways that settle disputes about surveillance in favor of those who deploy them, and large-scale FRT is inherently bound to centralized, asymmetric power because it cannot function without mass image capture, opaque databases, and an authority empowered to act on its outputs. Read through Benjamin, every gain it documents — security, convenience, efficiency — is at the same time a document of the barbarism of expanded, unequal surveillance, borne disproportionately by those already least able to contest being watched.

Note how the thesis is falsifiable: a reader could argue FRT is a neutral accelerant, or that its politics are contingent rather than inherent. Those are the counter-arguments §5 must answer.

3. The worked argument

The body of the essay, built in four moves. Each move is a sub-claim carried by grounds (evidence) and a warrant (the assumption that links them), in the Toulmin structure the argument-anatomy demo visualizes. Together they cumulatively establish the thesis.

3.1Move one — Winner's first sense: design settles disputes

Winner's "Do Artifacts Have Politics?" opens with the claim that some technologies embody political choices in their physical arrangement — Moses's bridges, built low so that buses carrying the poor and Black could not reach Jones Beach, encode a social policy in concrete [1]. FRT works the same way at the level of design decisions that look merely technical. The choice of training data, the chosen threshold for a "match," the decision to deploy at a protest versus a passport gate — each settles a dispute about who bears the risk of error.

Grounds — named evidence

Joy Buolamwini and Timnit Gebru's "Gender Shades" (2018) audit found commercial facial-classification systems erred on darker-skinned women up to 34% of the time versus under 1% for lighter-skinned men [2]. The error is not a law of optics; it is a consequence of design choices about whose faces filled the training sets.

Sub-claim

The specific design of an FRT system chooses who is misidentified, and therefore who is wrongly stopped, detained, or denied.

Warrant

If a technical decision systematically shifts harm onto one group, that decision is political in Winner's first sense — it "could have gone otherwise."

Backing

Robert Williams, a Black man in Detroit, was wrongfully arrested in 2020 on a false FRT match — a documented harm, not a hypothetical [5].

Test this against the artifacts-have-politics demo: FRT belongs in the "flexible — could have been built otherwise" bin at the level of any specific system. That is move one. Move two argues the second, harder half of Winner's claim.

3.2Move two — Winner's second sense: inherent political requirements

Winner's deeper and more contested claim is that some technologies are "inherently political" — they require, to function at all, a particular arrangement of power [1]. His example is the atom bomb, which demands a centralized, secretive, hierarchical command structure regardless of who owns it. The argument here is that mass facial recognition is similarly structured. It cannot operate without three things: continuous image capture of public space, a centralized database against which faces are matched, and an authority empowered to act on a match. Each of these concentrates power upward and asymmetrically.

Grounds — named evidence

Shoshana Zuboff's The Age of Surveillance Capitalism (2019) argues that the business model of the digital economy depends on the unilateral capture of human behavior as raw material [3]. FRT is this logic turned on the face itself — Zuboff's "dispossession" applied to the body. The requirement is not incidental; it is constitutive.

Sub-claim

Mass FRT is inherently political: it cannot exist without centralized capture and an actor authorized to sort and detain.

Warrant

A technology whose minimum operating conditions require concentrated, asymmetric authority carries that politics wherever it is installed (Winner).

Backing

China's deployment of FRT against Uyghurs shows the system functioning exactly as its structure permits — population-scale sorting by a central authority [6].

3.3Move three — the long history: FRT as the latest tool of control

The course's chronological method insists we resist treating any technology as unprecedented. FRT belongs in a lineage. Daniel Headrick's The Tools of Empire showed how nineteenth-century steamships, the telegraph, quinine and the repeating rifle did not merely accompany imperial conquest but made its scale possible — they let a small center see, reach, and control a vast periphery [4]. Identification technologies did the same work of legibility: the colonial census, the fingerprint archive, and later the Hollerith punch-card tabulator that mechanized national registration all rendered populations readable to a central power.

Grounds — named evidence

Edwin Black's IBM and the Holocaust (2001) documents how Hollerith tabulating machines let the Nazi state count, sort, and locate populations at unprecedented speed [7]. The continuity is structural: FRT is a tool that makes a population legible to a center and actionable upon — the same function, with the friction of paper removed.

This is where the project earns its place in a history course. Treating FRT as a brand-new problem is itself a determinist move (the "this changes everything" fallacy the determinist-fallacy demo trains you to catch). Reading it as the newest instrument in a long history of legibility-and-control technologies — the move Headrick and the tools-of-empire demo model — sharpens the analysis rather than dating it.

3.4Move four — Benjamin's dialectic: the document of barbarism

The course's framing epigraph is Benjamin's: "there is no document of civilization which is not at the same time a document of barbarism" [8]. Applied here, the move is to refuse to let the achievement and the cost be narrated separately. The same system marketed as civilizational progress — faster borders, found children, unlocked phones — is, in the same gesture, the infrastructure of a surveillance order whose costs fall on those already most watched and least able to opt out.

Grounds — named evidence

Simone Browne's Dark Matters (2015) traces a continuous history of the surveillance of Black bodies — from the branding of enslaved people to biometric checkpoints — showing that "neutral" identification technologies have never fallen evenly [9]. The convenience is real and the burden is unequal; Benjamin's point is that they are the same object seen from two sides.

Run the case through the civilization/barbarism demo: as you slide attention toward the achievement, the cost does not disappear — it is structurally entailed. That is the dialectical reading the thesis claims.

4. Sources & method

The course pairs primary sources (made inside the situation) with scholarly sources (analysis after the fact), and treats sorting and interrogating them as the core skill. A strong project is explicit about which is which and about each source's silences — the move the source-analysis demo drills.

Method

The argument is built by close reading rather than data collection. Scholarly works (Winner, Zuboff, Headrick, Browne, Benjamin) supply the interpretive frameworks; primary materials (a vendor's marketing claims, the ACLU's litigation record, journalistic documentation of wrongful arrests, corporate transparency reports) supply the contemporary evidence those frameworks are tested against. The method is to let a framework make a prediction — Winner predicts inherent political requirements; Benjamin predicts an inseparable cost — and then ask whether the primary record bears it out.

Reading sources critically

A vendor's claim that a system is "99.9% accurate" is a primary source: it tells us what the company wants believed, not what is true in the field, and its silence — accuracy for whom, under what lighting, against which database — is itself evidence. Buolamwini and Gebru's audit is a secondary, scholarly source that supplies exactly the disaggregation the vendor omits. Holding the two against each other is the analytical engine of the project; neither alone would suffice.

Worked source-sort

Primary: a police department's procurement contract for FRT; a company's accuracy press release; a Congressional hearing transcript.   Secondary: Zuboff's analysis of surveillance capitalism; Browne's history of racializing surveillance; a peer-reviewed audit. The skill is to name what each can and cannot tell you.

5. Counter-arguments & synthesis

A thesis that never meets its strongest opponent is not yet earned. The course rewards arguments that steel-man the other side, then answer it. Here are the two most serious objections and the replies that complete the argument.

Objection A — "The technology is neutral; only use is political"

The hammer builds and kills; blaming the artifact is a category error. FRT just matches patterns — bias and abuse live in human deployment, not in the camera. Fix the policy and the politics dissolve.

Reply A

This is the "technology is neutral" reflex the course explicitly trains against (and the fallacy demo flags). Winner's reply: some artifacts are flexible, but mass FRT's minimum operating conditions — centralized capture and an authority to act — are not a "use"; they are the technology. You cannot have it without them. The politics are upstream of policy.

Objection B — "Accuracy will improve; the harm is a transient bug"

The Gender Shades disparities are a dataset problem already shrinking. Once error rates equalize across groups, the discrimination critique evaporates and only the convenience remains.

Reply B

This concedes the more dangerous point. A perfectly accurate mass-surveillance system is more threatening, not less — it is the flawless legibility Headrick's and Black's cases warn about. Benjamin's dialectic holds even at 100% accuracy: the achievement is the barbarism. Equalizing error rates addresses move one and leaves moves two through four untouched.

Synthesis

Holding both replies together sharpens rather than softens the thesis. Against Objection A, FRT is shown to carry politics in its structure, not merely its application. Against Objection B, the politics survive — and intensify — even if the design flaws are fixed. The synthesis is therefore not "FRT is bad," a slogan the course would reject as un-historical, but the more precise claim that FRT redistributes the power to see, sort, and act upon human beings toward a center, and does so unequally — and that this is a contestable political settlement, not a technical inevitability. Naming it as contestable is what reopens it to democratic decision, which is Winner's whole point.

6. Mapping to learning outcomes & the rubric

How the project exercises the syllabus's stated learning objectives, and the rubric a strong submission is graded against. The weights mirror the spirit of the course's continuous-assessment and written components.

Learning-outcome mapping

Course learning objectiveWhere this project demonstrates it
Analytical, critical & creative thinkingInterrogates the progress narrative; turns Winner's two senses of "politics" into testable sub-claims (§3.1–3.2).
Comprehensive reading of complex textsReads Winner, Benjamin, Zuboff, Headrick and Browne closely and puts them in conversation (§3, §4).
Investigate, research & obtain informationGathers and weighs primary and secondary evidence; documents the Gender Shades audit and wrongful-arrest record (§3, §8).
Learn about other cultures & human experiencesRecovers marginalized perspectives — Browne on racializing surveillance, the Uyghur case — that progress-only stories erase (§3.3–3.4).
Write academic texts with varied argumentationDeploys the full Toulmin structure and explicit counter-argument/synthesis (§3, §5).

Grading rubric

CriterionWhat earns full marksWeight
Thesis & framingA single, contestable, clearly stated claim grounded in a course framework — not a description.20%
Use of frameworksWinner and Benjamin (plus one more) applied precisely, not name-dropped; the lens does analytical work.20%
Evidence & sourcesNamed, accurately cited primary and secondary sources; each source's reach and silence acknowledged.20%
Counter-argument & synthesisAt least two steel-manned objections answered; the synthesis sharpens rather than restates the thesis.15%
Historical reasoningThe technology is placed in a lineage; determinist and "great-man" shortcuts are avoided.15%
Structure, prose & citationClear sectioning, academic register, consistent referencing — and visibly the student's own work (no AI).10%

Total 100%. The AI policy is a grading gate, not a line item: any evidence of generated text or ideas can fail the assignment outright, per the syllabus.

7. Extensions — other technologies & other lenses

The same method transfers. Swap the artifact or the framework and the argument re-runs. A few strong alternatives a student could take up.

8. References

A model reference list, distinguishing scholarly works from primary materials, in the spirit of the course's source discipline. (Page numbers for the course readings follow the editions on the course bibliography.)

  1. Langdon Winner, "Do Artifacts Have Politics?" in Major Problems in the History of American Technology, eds. M. R. Smith & G. Clancey (Houghton Mifflin, 1998), pp. 7–13. Sessions 1–2
  2. Joy Buolamwini & Timnit Gebru, "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification," Proceedings of Machine Learning Research 81 (2018), pp. 1–15. scholarly
  3. Shoshana Zuboff, The Age of Surveillance Capitalism (PublicAffairs, 2019). scholarly
  4. Daniel R. Headrick, The Tools of Empire: Technology and European Imperialism in the Nineteenth Century (Oxford University Press, 1981). Sessions 6–9
  5. Kashmir Hill, "Wrongfully Accused by an Algorithm," The New York Times, 24 June 2020. primary
  6. Paul Mozur, "One Month, 500,000 Face Scans: How China Is Using A.I. to Profile a Minority," The New York Times, 14 April 2019. primary
  7. Edwin Black, IBM and the Holocaust (Crown, 2001). scholarly
  8. Walter Benjamin, "Theses on the Philosophy of History" (1940), in Illuminations, trans. H. Zohn (Schocken, 1968), thesis VII. course epigraph
  9. Simone Browne, Dark Matters: On the Surveillance of Blackness (Duke University Press, 2015). scholarly
  10. Thomas J. Misa, Leonardo to the Internet: Technology and Culture from the Renaissance to the Present, 3rd ed. (Johns Hopkins University Press, 2022) — esp. ch. 10, "Dominance of the Digital." Sessions 25–27

References 5 and 6 are journalistic primary documentation of contemporary events; 2, 3, 7 and 9 are scholarly analyses; 1, 4, 8 and 10 are core course readings. Sorting them this way is itself part of the assessed work — see the source-analysis demo.