This repository serves as a comprehensive, curated catalog of resources related to artificial intelligence regulation, principles, and ethical guidelines. It aims to simplify navigation for practitioners, researchers, and policymakers by mapping the evolving landscape of AI governance, offering a centralized hub for understanding global approaches to responsible AI development and deployment.

How It Works

The project functions as an "awesome list," aggregating and categorizing links to national regulations, high-level frameworks, practical tools, industry standards, educational materials, and research newsletters. It provides structured access to a wide array of documents, from legislative proposals and executive orders to ethical toolkits and academic papers, facilitating a holistic understanding of AI governance.

Quick Start & Requirements

No installation or specific software requirements are needed, as this is a curated list of external resources. Users can access the information directly via the GitHub repository.

Highlighted Details

• Extensive coverage of national regulations across multiple economic areas (e.g., EU, US, China, India).
• Categorization of resources into frameworks, processes, practical tools, and industry standards.
• Inclusion of academic research, online courses, and industry newsletters for continuous learning.
• Links to practical toolkits for bias auditing, explainability, and privacy-enhancing techniques.

Maintenance & Community

The repository is maintained by EthicalML and welcomes community contributions via the FBPML Wiki. Links to relevant newsletters and organizations like the Montreal AI Ethics Institute are provided.

Licensing & Compatibility

The repository itself is licensed under the MIT License, allowing for broad use and modification. The linked resources retain their original licenses.

Limitations & Caveats

As a curated list, the content's accuracy and completeness are dependent on ongoing community contributions and the maintenance of external links. The rapidly evolving nature of AI regulation means some information may become outdated.