Testing HR Systems for Bias and Fairness in AI

Explore techniques for detecting and preventing bias in AI-powered HR systems through this 36-minute conference talk from the Toronto Machine Learning Series. Learn from Dan Adamson, CEO and Cofounder of Armilla AI, as he shares real-world lessons on identifying hidden dangers in resume screening and promotion models. Discover common motifs that can lead to system failures and gain insights into making HR systems more robust. Understand the importance of formal assessments, including those required under new bias laws, and how tools like Armilla can be used for quality assurance in machine learning applications. Gain valuable knowledge to ensure fairness and mitigate risks in AI-driven HR processes.