Model cards: the one-page disclosure every procured AI must ship

Three ways to see it

1. 1

   A model card is a short structured document, ideally one to three pages, that travels with every AI model. It was proposed in 2019 by researchers at Google and has since become the de facto standard. Hugging Face, OpenAI, Anthropic, Meta, and Google all publish them. The card answers a fixed set of questions in a fixed order so a busy buyer in MoITT, SBP, or NEPRA can read three cards from three vendors and compare apples to apples in twenty minutes.

2. 2

   The fixed sections of a usable model card are nine. Model details: name, version, release date, owner, contact for issues. Intended use: what tasks, what users, what is out of scope. Training data: sources, time period, languages, data licenses, known exclusions. Evaluation data: benchmarks used, why those benchmarks. Performance: top-line metrics broken down by subgroup. Limitations: what the model cannot do well, in plain language. Ethical considerations: known harms, mitigations. Caveats and recommendations: what the buyer must layer on top. Update history: every retrain, every version bump, every guardrail change.

3. 3

   For Pakistan the most under-served section is performance broken down by subgroup. A Pakistani-context AI must report metrics separately for Urdu and English at minimum, and ideally for Punjabi, Sindhi, Pashto, and Balochi where the model claims regional support. It must report male and female accuracy where the task involves people. It must report rural and urban accuracy where the task involves location data. A vendor who reports a single national accuracy number is hiding the variance, and the variance is exactly where citizens get harmed.

The why-tree

Try this with Claude

Capstone challenge — three actions. (1) Download the model card for any Hugging Face model your team uses; identify the three weakest sections and write what your vendor would need to add. (2) Draft a one-paragraph model card request you can paste into any RFP from now on. (3) Pick the vendor whose AI most affects citizens in your remit and ask them in writing for the latest model card; log the response time.