Open-source diagnostic for Al misalignment. Model agnostic, industry agnostic (github.com)

Open-source diagnostic tool iFixAi has been launched to assess AI misalignment. This tool performs up to 32 inspections on any AI agent, categorizing behavioral discrepancies from expected norms into five risk groups. Although it is not a certification system, iFixAi offers a repeatable diagnostic process that can be integrated into continuous integration (CI) pipelines to monitor AI agent performance over time. It currently uses policy defaults for scoring and doesn’t include baseline reference scores for frontier models, making it primarily useful for tracking performance drift and providing comparative insights between systems. The tool’s significance lies in its potential to enhance the transparency and accountability of AI systems. By focusing on categories such as fabrication, manipulation, deception, unpredictability, and opacity, iFixAi facilitates a structured evaluation of AI behaviors that align with safety and ethical standards. Users can run this diagnostic with flexible configurations, including custom fixtures and multiple providers, enabling tailored assessments based on specific operational contexts. As the AI/ML community grapples with alignment challenges, tools like iFixAi could play a vital role in promoting safer and more reliable AI deployments.