Foundation Model Transparency Index (FMTI)
Type: Transparency benchmark / disclosure scorecard Owner: Stanford HAI Version: Referenced as 2025 update in source Tags: evals transparency benchmarks Created: 2026-04-22 04:22:18Z Last Updated: 2026-04-22 04:22:18Z
Summary
Foundation Model Transparency Index (FMTI) is presented as a framework that scores major AI providers on disclosure across indicators tied to data, safety, governance, and deployment transparency.
Indicators Mentioned in Source
- Training data sourcing and licensing disclosure
- Safety and red-team reporting
- Governance and misuse policy clarity
- Visibility into deployment contexts and downstream use
Findings Referenced
- Average transparency score declined year-over-year.
- Proprietary models were described as less transparent than open-weight counterparts.
- Low transparency reduces accountability and makes independent safety verification harder.
Connections
- Primary source summary: AI Transparency Is on the Decline (Stanford HAI 2025)
- Policy implications: AI Transparency Regulation