The process of systematically evaluating AI systems to ensure they comply with ethical standards and do not cause harm.
A specialized audit that examines model fairness, bias mitigation, data privacy, transparency, and governance processes against ethical benchmarks. Ethical audits involve stakeholder interviews, code and data reviews, model testing on sensitive subgroups, and follow-up remediation tracking. Reports typically include risk ratings and action plans.
A university’s AI Ethics Office conducts an Ethical AI Audit of its student-advising chatbot. Auditors test for biased advice toward certain majors, review student-data privacy controls, and verify that the bot discloses its AI nature. The resulting audit report leads to refining training data and updating consent messages.
