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AI literacy for newsrooms — starter pack
A twelve-lesson primer covering core terms, common failure modes, and a basic verification workflow.
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This starter pack is written for working newsrooms that want to introduce AI literacy without committing to a specific tool, vendor, or workflow. It is deliberately tool-agnostic.
The twelve lessons are: what a language model is; what a language model is not; the difference between generation and retrieval; the difference between a fact and a fluent sentence; verification as a first-class workflow step; disclosure as a default; the failure modes that matter most in editorial work; how to evaluate a third-party tool; how to design a small in-house experiment; how to write an internal policy; how to talk to readers about AI; and how to revisit the policy in six months.
Each lesson is one to four pages and ends with a one-line takeaway and a short exercise. The full pack is released under CC BY-SA 4.0 — you may adapt, translate, and republish, provided you credit the programme and release derivatives under the same licence.
Licence. This resource is published under CC BY-SA 4.0. You may share and adapt it, including for commercial purposes, provided you give appropriate credit and indicate changes. Derivative works must be released under the same licence.
Accessibility. The downloadable file is plain markdown — readable in any text editor, screen reader, or browser, with no JavaScript required.
Citation. Good AI for Journalism — Icebauhaus, Labtek Indie & BandungBergerak. AI literacy for newsrooms — starter pack.