awesome-safety-critical-ai
github.com/jgalego/awesome-safety-critical-ai ↗When the stakes are high, intelligence is only half the equation - reliability is the other ⚠️
63
GitHub Stars
421
Curated Resources
18
Categories
3 hours ago
Last Refreshed
🌟 Editor's Choice📝 Articles✍️ Blogs / News📚 Books📜 Certifications🎤 Conferences👩🏫 Courses📙 Guidelines🤝 Initiatives💡 Patents🛣️ Roadmaps📋 Reports📐 Standards📺 Videos📄 Whitepapers👷🏼 Working Groups👾 Miscellaneous🏁 Meta
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me generic resources from awesome-safety-critical-ai"
Installation instructions →What's inside
📝 Articles
- 150 Successful Machine Learning Models: 6 Lessons Learned at Booking.com
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
- A Berkeley View of Systems Challenges for AI
- Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition
- A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures
- A corroborative approach to verification and validation of human-robot teams
🎤 Conferences
📚 Books
- Adversarial Machine Learning
- AI Doctor: The Rise of Artificial Intelligence in Healthcare - A Guide for Users, Buyers, Builders, and Investors
A Guide for Users, Buyers, Builders, and Investors
- Artificial Intelligence for Healthcare: Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World
- Artificial Intelligence for Safety and Reliability Engineering: Methods, Applications, and Challenges
- Artificial Intelligence: Humans at the Heart of Algorithms
- Artificial Intelligence Safety and Security
📋 Reports
- AFE 87 – Machine Learning
- AI Safety Index 2024
- Assurance of Machine Learning-Based Aerospace Systems: Towards an Overarching Properties-Driven Approach
- Concepts of Design Assurance for Neural Networks (CoDANN)
- Examining Proposed Uses of LLMs to Produce or Assess Assurance Arguments
- First usable guidance for Level 1 machine learning applications
📙 Guidelines
🤝 Initiatives
👩🏫 Courses
✍️ Blogs / News
- AI Governance Mega-map: Safe, Responsible AI and System, Data & Model Lifecycle
- Airbus Validates Computer Vision-Based Technologies to Increase Safety Through Automation
- AI Red Teaming: Securing Unpredictable Systems
- Artificial Intelligence, Critical Systems, and the Control Problem
- Artificial Intelligence in Safety-Critical Systems
- Breaking things is easy
Showing a sample of 421 resources. View the full list on GitHub →