Tag: Responsible AI testing
Testing methodologies to verify that artificial intelligence systems respect principles of fairness, transparency, accountability, and security. Covers tests for bias, fairness, adversarial robustness, explainability, privacy-preserving AI, regulatory compliance, and mitigation of ethical and operational risks in ML and GenAI models.
