These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
FLARE-AI
FLARE-AI is an open-source AI flaw and incident reporting tool that aims to address fragmentation in the AI flaw reporting ecosystem, where researchers are often uncertain where to submit reports and recipient organisations rarely share reports with other relevant stakeholders.
The tool allows AI actors, including researchers, red teamers, affected users, developers, to document a vulnerability, bias, or incident through a single submission process. Reports are structured using established taxonomies, including the AIAAIC harm taxonomy and the OWASP Top 10 for LLMs, and are generated in a machine-readable JSON-LD format. This format can be automatically converted into schemas used by other systems, such as CSAF for security coordination or the formats used by AI incident and vulnerability databases.
The source code is published under an MIT license and consists of a Next.js frontend and a Strapi CMS backend, with integration support for CERT/VINCE and Hugging Face Hub. Publishing the full codebase allows organisations to self-host, review, or adapt the reporting pipeline according to their requirements.
About the tool
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Tags:
- incident response
- Vulnerability management
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