Trustworthy AI Regulatory Documents from Public and Private Entities

A curated list of 98 regulatory documents on trustworthy artificial intelligence, gathered up to July 2025. The collection was compiled by Şaban İbrahim GÖKSAL and includes 43 formal documents from public entities and 55 informal documents from private or other entities. It reflects the regulatory evolution of AI trustworthiness from principles to laws.

Use Cases

• Analyze the distribution of formal vs. informal regulatory documents to map the institutional landscape of AI governance.
• Track the evolution of 'trustworthiness' as an AI attribute by examining document publication dates and sources.
• Compare policy and legal perspectives from public entities (e.g., USA, China, EU) against ethical norms from private entities.
• Identify key themes or principles across the 98 documents to define the conceptual state of the art for trustworthy AI.

Strengths

• Contains 98 distinct regulatory documents, providing a broad sample of the governance landscape.
• Explicitly categorizes documents into 43 formal (public) and 55 informal (private/other) sources, enabling structured analysis.
• Documents are curated up to July 2025, capturing recent regulatory developments.

Limitations

• The dataset is small in scale, containing only 98 document references without the full text of each document.
• The scope is limited to a curated list; analysis is constrained to metadata and categorization rather than document content.
• Potential geographic bias exists as the specific countries and regions covered are not fully enumerated.

Provenance

Source

figshare, authored by Şaban İbrahim GÖKSAL.

Collection Method

Curated list gathered from a diverse range of formal and informal institutional sources.

Time Range

Documents gathered up to July 2025.

Freshness

Last updated on the platform in April 2026, with document collection covering up to July 2025.

Geography

Includes documents from public entities such as the USA, China, EU, and International Governmental Organizations, as well as global private entities.