Made with AI assistance under Frank C. Langbein's direction, bot-sitting, review, correction, and approval.
This module teaches learners to state who made what and to keep "I generated this" separate from "I understand and can defend this". It would have no standing to do that if its own credits were vague. So this page is specific, including about the parts a conventional credit line would quietly round off.
Human
Frank C. Langbein — concept and brief; direction of the work; bot-sitting
the AI systems that produced it; reviewing, correcting, and approving the
resulting material; inputs; the second-order reasoning material in Unit 9 and
course/second-order.md, which derives from his own talk on the subject.
He has not written the module's learning material. The scripts, slides, student pages, activities, answer keys, lab code, self-check framework, site, and build system were generated by the AI systems listed below under his direction, review, and approval. The single exception is the short human introduction sequence in Unit 0, which is his own, once recorded.
This distinction is the point rather than a caveat. A module about disclosure that blurred authorship at its own front door would be teaching one thing and demonstrating another.
Orchestration
Baba Yaga V10 — an unreleased reasoning engine, which drove the integration: directing the AI systems below, verifying results, routing work between them, running tools, and maintaining consistency across the material.
Generating systems
Material in this repository was drafted by:
- Claude Fable 5 and Claude Opus 4.8 (Anthropic)
- Gemini 3.1 Pro / 3.6 Flash (Google)
- GPT-5.6 Sol / Terra (OpenAI)
Their working notes and mutual review during drafting are preserved in the git
history and distilled in CHANGELOG.md, so the drafting process stays inspectable.
Model versions are recorded because they date the work: material generated by a
given system in a given month is a fact about that moment, and the freshness
policy in course/references.md depends on being able to tell when something
was written.
Media production
Unit 0 will use Frank's real recorded introduction. Units 1–9 will use disclosed,
consented cloned narration based on that authorised reference. The voice-cloning
tool, generated-video tool, and any other production systems remain to be
selected. Once selected, they will be listed here and recorded per asset in
docs/media-assets.md, with the same specificity as above: what produced it,
when, and with what prompt or input.
Selection preference, in order:
- Tools that can be downloaded and run locally.
- Self-hosted on local hardware (DGX Spark) where that is materially better.
- Remote services, only where the quality difference is considerable and the material involves nothing confidential.
Every generated visual or synthetic voice must be disclosed to learners wherever it appears. Synthetic narration must never be presented as a person speaking.
Sources not authored here
Quoted, cited, or adapted material — Lovelace and Menabrea (1843), the secondary
historical literature, published Bernoulli tables, the formal results referenced
in course/second-order.md, and the song lyrics quoted in Unit 9 — is
attributed in course/references.md. Third-party images and media are
recorded in docs/media-assets.md with source and licence.
How to cite this module
Langbein, F. C. (2026). AI Literacy: Ada, AI, and Verification. Cardiff University. Material generated with AI assistance (Claude Fable 5 / Opus 4.8, Gemini 3.1 Pro / 3.6 Flash, GPT-5.6 Sol / Terra), orchestrated by Baba Yaga V10 and reviewed and approved by the author.
Licence
AGPL-3.0-or-later, for the learning content, the code, and the generated media
alike. Full text in LICENSE; the reasoning, the scope, and the
third-party position are in docs/licensing.md.
Third-party material — the public-domain Lovelace and Menabrea text, and the song
lyrics quoted minimally in Unit 9 under the educational quotation exception — is
not covered by that licence and is attributed in course/references.md.