Exploring the complexities of fairness in AI, Peter highlights the importance of understanding bias not just at the model level but also at the decision-making stage. He emphasizes the need for continuous monitoring during runtime to address potential biases in real-time decisions, rather than relying solely on design-time metrics. This discussion opens up intriguing avenues for research in how to effectively manage and interpret the multitude of alerts generated by AI systems.
