Certification and Mitigation of Risks in AI Model Deployment

This chapter emphasizes the significance of certifying AI models to guarantee quality and unbiased results. It covers evaluating risks like fairness, discrimination, and setting KPIs to prevent bias based on gender, along with strategies for mitigating risks through data analysis, model transparency, uncertainty estimation, and robustness checks.