Search AI Global

AI Policy and Regulatory Dataset Overview Search AI Global provides a curated dataset of text passages extracted from documents within the AI Policy and Regulatory domain . The dataset is designed to support research, monitoring, and analysis of how artificial intelligence is governed across jurisdictions, institutions, and policy contexts. The dataset focuses on high-signal public documents that shape or interpret the regulatory landscape for AI systems.

Initial focus is on US sub/national with a view to extend globally. Domain definition The AI Policy and Regulatory domain cover's documents related to the governance, regulation, legal frameworks, standards, and public policy shaping the development, deployment, and societal impact of AI systems. This definition has been translated into search parameters that are used within the Google search api to identify relevant documents.

In the near future we are hoping to combine an LLM and human in the loop validation layer. Data source & processing Source: Public web documents identified via curated Google Search API queries. Text extraction: IBM’s Docling tool.

Dataset structure This dataset is at the passage level. Thus, there is one row per passage of text. A relatively simple schema has been defined.

Should users want more fields like embeddings, coordinates etc. then please get in touch. Use cases Regulatory monitoring and trend analysis.

Cross-jurisdictional policy comparison. LLM training and evaluation on regulatory content. Compliance, risk, and governance research.

Update frequency Daily updates are in development. The current release should be considered static.