Don’t ask what AI is; watch what people do to make AI outputs accountable and reasonable in situ. The action lives in the micro-work—how users format prompts, gloss odd answers, repair breakdowns, and achieve “that’ll do” as a local social fact (Garfinkel, 1967; Garfinkel, 2002).

Thesis (Garfinkel-ish)

AI is not a freestanding mind but a setting for practical reasoning. Treat every prompt→response→repair as a bit of orderly work through which members produce sense, sanction, and next steps (Garfinkel & Sacks, 1970/1972).

Core moves for an ethnomethodology of AI

What Garfinkel would actually do (methods kit)

Starter study (1-week sprint)

  1. Sample 8–10 real tasks; capture 30–45-minute sessions.
  2. Build a micro-annotation scheme: T (trouble), R (repair), A (account), C (categorization), E (etcetera-clause).
  3. Memo recurring “work practices”: template prompts, checklists, escalation paths.
  4. Deliver three short “practice patterns” for product/design and one risk memo for policy.

Design takeaways

Field prompts you can use today

Literature

Garfinkel, H. (1967). Studies in Ethnomethodology. Prentice-Hall/Polity. Publisher page (Wiley/Polity).

Garfinkel, H. (2002). Ethnomethodology’s Program: Working Out Durkheim’s Aphorism (A. W. Rawls, Ed.). Rowman & Littlefield/Bloomsbury. Publisher page.

Garfinkel, H., & Sacks, H. (1970/1972). On formal structures of practical actions. In D. Sudnow (Ed.), Studies in Social Interaction. Free Press. Routledge chapter record.

Suchman, L. (1987/2006). Plans and Situated Actions / Human–Machine Reconfigurations (2nd ed.). Cambridge University Press. Publisher page.

Lynch, M. (1993). Scientific Practice and Ordinary Action: Ethnomethodology and Social Studies of Science. Cambridge University Press. Publisher page.

Geiger, R. S., & Ribes, D. (2011). Trace ethnography: Following coordination through documentary practices. Proceedings of HICSS. PDF.


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