Data Ethics & Responsible AI Assessment

Online assessment to evaluate advanced AI ethics and governance expertise

This assessment helps hiring managers evaluate a candidate’s ability to ensure fairness, transparency, and accountability in AI systems. It focuses on advanced-level topics such as bias auditing, proxy variable detection, algorithmic impact assessment, and governance frameworks. The test also assesses understanding of fairness dashboards, documentation practices, and regulatory compliance. Ideal for Responsible AI officers, data governance leads, and compliance specialists, this assessment identifies professionals who can design and oversee ethical AI pipelines. Automated reports simplify identifying candidates who prioritize trust and accountability in AI.

Sample Question

You lead the AI ethics team at a healthcare analytics company that deploys predictive models for hospital readmission risk. After an internal audit, you discover that model performance differs sharply across age groups and income levels. The compliance officer warns that the disparity may violate federal fairness laws. You need to act quickly but cannot halt production entirely. What’s your most responsible next step?