awesomeresponsibleai
github.com/athenacore/awesomeresponsibleai ↗A curated list of awesome academic research, books, code of ethics, courses, databases, data sets, frameworks, institutes, maturity models, newsletters, principles, podcasts, regulations, reports, responsible scale policies, tools and standards related to Responsible, Trustworthy, and Human-Centered AI.
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
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Installation instructions →What's inside
Reports
- 2024Market Analysis
- AI Lab WatchAI Labs
- AI Safety Claims AnalysisAI Labs
- AI WorldMarket Analysis
- ArticleAI Governance
- ArticleAI Governance
Tools
- AbsenceBenchLLM Evaluations and Benchmarks
- Adversarial Robustness Toolbox (ART)Robustness
- Aequitas' Bias & Fairness Audit ToolkitFairness
- Agent Governance ToolkitAI Governance
- AI360 ToolkitInterpretability/Explicability
- AI Act SkillsEU AI Act Compliance
Code of Ethics
Institutes
- Ada Lovelace InstituteResearch Institutes
- AI Now InstituteResearch Institutes
- ARM Hub AI Adopt CentreResearch Institutes
- Australian Government-funded AI Adopt CentresResearch Institutes
- Australian Regional AI Network (ARAIN)Research Institutes
- Beijing AISIAI Safety Institutes (or equivalent)
Frameworks
Responsible Scaling Policies
- AGI Readiness PolicyRSP List
- AI Safety FrameworkRSP List
- Anthropic’s Transparency HubRSP List
Courses
- AGI Strategy
A course abour AGI to understand to understand the race, the risks, and how you can make a difference.
- AI Alignment
A course designed to introduce the key concepts in AI safety and alignment.
- AI Ethics
This course is part of the DIVERSIFAIR project, an EU-backed initiative created to help professionals build ethical AI that’s fair, transparent, and accountable — not just technically accurate.
- AI Ethics & Governance (AEG)
This course is designed to help you understand the fundamentals of AI Ethics and Governance.
- AI Governance
A series of courses that teach the practical capabilities missing from AI governance education — not just theory, but how to actually build AI inventories, perform algorithmic assessments, design meaningful human oversight, and make the business case that secures resources.
- AI Governance
A course designed to Examine the risks posed by advanced AI systems, standards and regulations to address them, and foreign policy approaches.
Databases
- AIAAIC(AI) Incidents Trackers
- AI for Good Lab(AI) Incidents Trackers
An open source database of assets for social and environmental good.
- AI Hallucination Cases(AI) Incidents Trackers
This database tracks legal decisions1 in cases where generative AI produced hallucinated content – typically fake citations, but also other types of arguments.
- AI Harm Map(AI) Incidents Trackers
- AI Incident Database(AI) Incidents Trackers
- AI Incident Tracker(AI) Incidents Trackers
Showing a sample of 724 resources. View the full list on GitHub →