ETO Logo
Documentation: AGORA
AGORA is in beta. This documentation is incomplete. We are in the process of compiling full documentation for the AGORA interface. This interim documentation is provided for convenience and is not final. For details on the data behind the interface, visit the dataset documentation. Feel free to contact us with any questions not answered here.

Overview

What is this tool?

AGORA (AI GOvernance and Regulatory Archive) is an exploration and analysis tool for AI-relevant laws, regulations, standards, and other governance documents from the United States and around the world. Drawing on original ETO data, AGORA includes summaries, document text, thematic tags, and filters to help you quickly discover and analyze key developments in AI governance. Its easy-to-use interface includes plain-English summaries, detailed metadata, and full text for hundreds of AI-focused laws and policies, with new data being added continuously.

What can I use it for?

  • Find recent laws, policies, standards and similar documents from a wide range of jurisdictions and organizations, including governments as well as private companies.
  • Quickly get up to speed on specific documents of interest using AGORA's plain-English summaries - or dive into the full text of any document.
  • Sort and filter documents by criteria including keyword, date, jurisdiction, and significance.
  • Use AGORA's original thematic taxonomy to find documents related to specific AI governance themes, from evaluation and information disclosure to public investment.
  • Identify documents that address specific applications of AI, such as medicine, finance, or military uses.

What are its most important limitations?

  • AGORA's focus on documents that directly address AI means that many AI-relevant laws, regulations, and norms are excluded by design. In particular, laws of general applicability - for example, securities regulation, civil rights law, or common-law tort doctrines - are excluded. Read more >>
  • Some documents are missing. AGORA’s nominal scope is broader than the set of documents collected to date. In particular, the current tool skews toward U.S. law and policy. New data are added regularly and we aim to broaden coverage over time. Read more >>
  • Some data is machine-generated and may contain errors. We use machine learning to draft summaries of AGORA documents. The machine output is included in the interface once generated; it may take some time after that for a human annotator to review. We prominently flag unreviewed machine-generated output in the interface. Read more >>

What are its sources?

The AGORA interface builds on ETO's original AGORA dataset. Read more >>

Does it contain sensitive information, such as personally identifiable information?

No.

What are the terms of use?

The AGORA tool and data are subject to ETO's general terms of use. If you use the tool, please cite us.

Note that the dataset includes full text of AGORA documents, taken from sources such as government websites and repositories. Given its nature, we believe all of this material is open to non-commercial use consistent with our general terms of use, but we make no warranties.

How do I cite it?

If you use data from AGORA in your work, please cite "Emerging Technology Observatory AGORA" and include the link to the tool.

Using AGORA

Instructions are on their way! During the AGORA beta period, the interface is being updated quickly. We'll provide detailed instructions for the interface here once things settle down.

Sources and methodology

The AGORA interface builds on ETO's original AGORA dataset, a living collection of AI-relevant laws, regulations, standards, and other governance documents from the United States and around the world. Visit the dataset's documentation to learn more about this dataset and how it's maintained.

Maintenance

How is it updated?

AGORA updates automatically when the underlying AGORA dataset updates.

How can I report an issue?

Use our general issue reporting form.

Credits

  • Concept and design: Zach Arnold, Brian Love, Niharika Singh
  • Engineering: Jennifer Melot, Brian Love, Niharika Singh
  • Documentation: Zach Arnold
👀
AGORA runs on the AGORA dataset, featuring contributions from many different analysts, annotators and technical collaborators. View credits for the dataset.

Major change log

6/28/24Beta release
ETO Logo

Keep in touch

Twitter