Addressing Gender Bias in AI

About This Event

A critical discussion on gender bias in artificial intelligence systems, from training data imbalances to algorithmic discrimination. Panelists explored real-world examples of AI bias, methods for auditing and mitigating bias in machine learning models, and the importance of diverse teams in building fair and equitable AI solutions.