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README.md

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+---
+license: other
+license_name: ogl-v3
+license_link: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
+language:
+- en
+tags:
+- uk-government
+- ai-governance
+- algorithmic-transparency
+- responsible-ai
+- open-data
+pretty_name: UK Algorithmic Transparency Corpus
+---
+
+# UK Algorithmic Transparency Corpus
+
+Every published record under the UK's Algorithmic Transparency Recording
+Standard (ATRS), structured as an open corpus: which public bodies have
+disclosed which algorithmic and AI tools, and when.
+
+| | |
+|---|---|
+| ATRS records | **136** |
+| Distinct publishing bodies | **73** |
+| Source | GOV.UK ATRS records |
+| Licence | Open Government Licence v3.0 |
+
+## Why
+
+The ATRS is the UK government's standard for publishing how the public sector
+uses algorithmic tools in decisions that affect people. It is the closest thing
+to a public register of government AI, and it is growing. But it is published as
+a set of individual records, not as a dataset you can analyse. This assembles
+the full set into one structured corpus: publishing body, tool name, description
+and date per record.
+
+## The picture
+
+136 records span **73 distinct public bodies**, led by DSIT, DWP, the Money and
+Pensions Service, DfE, DESNZ and DBT. The corpus is the base for asking the
+questions the individual records cannot: which parts of government are most
+transparent about their AI, what kinds of tools recur, and how disclosure is
+growing over time.
+
+## Files
+
+- `data/atrs_records.json` / `.csv` — structured records
+- `scripts/harvest.py` — reproducible harvest from the GOV.UK Search API
+
+## Reproduce
+
+```bash
+python3 scripts/harvest.py
+```
+
+Contains public sector information licensed under the Open Government Licence
+v3.0. Independent, self-initiated open research by
+[Tesseract Academy](https://gov.tesseract.academy).