ai-testing
Responsible AI Testing: A Practical Checklist for Safety, Fairness, and Accountability
Responsible AI testing is the set of engineering practices that makes AI systems accountable: pre-deployment safety evaluation, CI/CD gates that block unfair models, model cards and datasheets, audit trails, ongoing monitoring, and incident response. This guide gives you a concrete checklist with code, not principles without implementation. Key