# AI Transparency & Explainability: A Policy Prototyping Experiment

- Source ID: `openloop_apac_ai_transparency`
- Publisher: Open Loop
- Original URL: https://openloop.org/reports/2022/07/openloop-asia-pacific-fullreport-2022.pdf.pdf
- Archive URL: https://web.archive.org/web/*/https://openloop.org/reports/2022/07/openloop-asia-pacific-fullreport-2022.pdf.pdf
- Accessed: 2026-05-20
- Content type: public PDF

## Supported Claims

- Lim Tern Poh contributed to the report through AI Singapore technical partner involvement.
- The report supports positioning around AI transparency, explainability, and AI policy prototyping.
- This should be described as a contributed report, not as a sole-authored publication.

## Evidence Notes

The PDF names Lim Tern Poh under AI Singapore technical partners. It describes an Asia-Pacific policy prototyping experiment on AI transparency and explainability.

Short excerpt for claim support: "AI Singapore technical partners" and "Lim Tern Poh".

## Use Guidance

Use this source to support contributed AI governance and explainability work. Do not present Lim Tern Poh as the sole author.