The Intersection of AI and Data Quality (ft. Curtis Northcutt, Cleanlab)

Welcome to this episode of FUTUREPROOF, where we delve into the intricate world of AI and data quality with Curtis G. Northcutt, the visionary CEO and Co-Founder of Cleanlab. With a prestigious background, including a PhD in Computer Science from MIT and impactful roles at Google, Meta, and Oculus, Curtis is at the forefront of AI innovation. 

Today, he'll share insights from his journey, discussing the critical issue of data hallucinations in AI and their profound industry implications. We'll explore the challenges of ensuring data accuracy, particularly in large language models, and the ripple effects on sectors like healthcare, finance, and legal. Curtis will also shed light on the roles of regulatory bodies, collaborative industry efforts, and the ethical landscape of AI deployment in sensitive areas. Finally, we'll look ahead to how AI and machine learning technologies are evolving to tackle data quality and hallucinations. Prepare to be enlightened by the expertise of a leader who is defining the future of AI. Let's dive in!