Cynthia Rudin

Cynthia Rudin, a Duke University professor specializing in interpretable machine learning, dives into the contentious topic of black box models in high-stakes decisions. She argues that simpler, interpretable models are essential for accountability, especially when human lives are at stake. The conversation explores the risks and ethical dilemmas posed by opaque algorithms, alongside her research on improving model transparency. Cynthia highlights real-world applications and advocates for a shift towards clarity in predictive modeling, impacting areas like healthcare and criminal justice.