This repository is related to our research paper on systemic AI failures and mitigation strategies in AI-based systems.

The paper analyzes real-world AI incident reporting to study how organizations respond when AI systems fail, and proposes a data-driven taxonomy that maps AI risks with AI risk mitigation strategies.

As the manuscript is currently in preparation, this repository does not present final results. Instead, it provides preliminary work, materials and documentation that accompany the paper.

Additional materials and updates will be released upon publication.