[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Sharad Goel and Sam Corbett-Davies on the limitations of popular mathematical formalizations of fairness. In this episode of the Data Show, I spoke with Sharad Goel, assistant professor at Stanford, and his student Sam Corbett-Davies. They recently wrote a surveyContinue reading “Why it’s hard to design fair machine learning models”
Monthly Archives: September 2018
Using machine learning to improve dialog flow in conversational applications
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Alan Nichol on building a suite of open source tools for chatbot developers. In this episode of the Data Show, I spoke with Alan Nichol, co-founder and CTO of Rasa, a startup that builds open source tools to help developersContinue reading “Using machine learning to improve dialog flow in conversational applications”