Building AI That Works for Everyone
Too often algorithms are opaque "silver bullets" that work for the people who make and own them but have negative consequences for others. In this talk, Cathy O'Neil will discuss the kinds of mistakes people unintentionally make, how to anticipate them, and how to improve the design of algorithms to avoid algorithmic harm.
Be empowered to ask hard questions of algorithms and refuse to blindly trust the "black box" * Understand the kinds of common problems that pop up in algorithmic design * Learn how to set up a process to hold algorithms accountable
Big Data Scientist and New York Times Bestselling Author , WME