ML Model Fairness: Measuring and Mitigating Algorithmic Disparities; With Guest: Nick Schmidt

Send us a text This week we’re talking about the role of fairness in AI/ML. It is becoming increasingly apparent that incorporating fairness into our AI systems and machine learning models while mitigating bias and potential harms is a critical challenge. Not only that, it’s a challenge that demands a collective effort to ensure the responsible, secure, and equitable development of AI and machine learning systems. But what does this actually mean in practice? To find out, we spoke with Nick S...