Overview

What this wiki is

A public research wiki about how AI is changing work: jobs, tasks, skills, teams, organizations, and how any of those changes can actually be measured. The lens is industrial–organizational (I-O) psychology — the science of people at work — applied to the questions organizations and workers face as AI moves from tool, to collaborator, to agent.

The central question:

How does AI change work, workers, jobs, organizations, and measurement — and what does I-O psychology help us understand, evaluate, and design better?

What’s inside

Two kinds of pages:

• Topics — synthesis pages, each built around one question: what the evidence says, where studies agree or contradict, and what remains unresolved.
• Sources — one page per paper or report: citation, summary, key claims, and limitations. Every claim on a topic page links back to the sources behind it.

How it runs

The wiki maintains itself on a daily loop: deterministic code discovers and fetches new literature, a language-model agent triages candidates and drafts synthesis, and a human reviews everything before it becomes part of the wiki. A report-only audit checks for contradictions and stale synthesis, and the wiki’s own open questions seed the next day’s search.

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Where to start

• topic-map — every topic, one line each
• open-questions — the cross-topic questions driving the research
• research-gaps — where the evidence base is still thin
• watchlist — candidate topics accumulating evidence before earning their own page

A note on method

Topic and source pages are drafted with the help of a large language model. Every topic page is reviewed by the maintainer before it becomes part of the wiki; source records are published as soon as they are written, and those not yet reviewed sit under sources/unreviewed/ with a visible notice until a reviewed synthesis integrates them. Even so, summaries can contain errors or lose nuance. Treat this wiki as a map of the literature, not a substitute for it — verify claims against the original sources before citing them.