# AI literacy for newsrooms — starter pack

> A twelve-lesson primer covering core terms, common failure modes, and a basic verification workflow.

**Format:** Module · **Length:** 48 pp · **Languages:** EN / ID
**Licence:** CC BY-SA 4.0
**Published by:** Good AI for Journalism — a programme of Icebauhaus, Labtek Indie, and BandungBergerak.

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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.


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This document is released under CC BY-SA 4.0. If you adapt or republish it, please credit the Good AI for Journalism programme and link back to the source.