Collaborate on trustworthy and accountable AI agents

[OlehVasylenko2000]

This repository is open to people and organizations interested in making AI agents more trustworthy, accountable and useful in real-world settings.

You are welcome to start a discussion if you want to collaborate in one of these areas:

1. Research and evidence — studies, evaluations, incident analysis, measurement methods, datasets, or independent validation.

2. Pilots and real-world testing — testing how AI agents can be identified, authorized, monitored and reviewed in operational environments.

3. Policy, governance and public-interest work — accountability, consumer protection, institutional responsibility, inclusion, access and public trust.

4. Standards and interoperability — technical or institutional approaches that help different systems, organizations and jurisdictions verify AI-agent actions consistently.

5. Cross-sector collaboration — projects that connect technical, legal, policy, academic, business and civil-society perspectives.

When you post, please describe:

• the problem or use case;
• what you would like to explore or test;
• what organization or perspective you represent, if relevant;
• what kind of collaboration you are looking for.

Early-stage ideas are welcome. You do not need to have a finished proposal or a technical background.