Fara-7B is a Microsoft initiative aimed at bringing rigor, transparency, and structured evaluation to AI systems through automated and customizable assessment frameworks. It provides stakeholders with a way to benchmark and evaluate models across dimensions such as fairness, robustness, security, privacy, and ethical considerations. Rather than relying on ad-hoc or manual review processes, FARA enables organizations to profile AI behavior using standardized tests, metrics, and reporting templates, making evaluations reproducible and comparable over time. The framework supports plugin-based modules that can be tailored to industry-specific concerns or regulatory requirements, helping compliance teams, auditors, and engineers collaborate on shared assessment goals.
Features
- Structured AI evaluation metrics and benchmarks
- Plugin support for domain-specific assessments
- Reporting dashboards with metric visualizations
- Integration hooks for evaluation pipelines
- Standardized formats for reproducible assessments
- Customizable tests for fairness, robustness, privacy, and security