Risk Fairness Methodology

Jan discusses the importance of evaluating risks associated with AI systems, particularly regarding fairness and discrimination. He emphasizes the need for a robust methodology that includes defining key performance indicators and mitigation measures to ensure equitable outcomes. The conversation highlights how data quality and model transparency are crucial for responsible AI deployment.