Today we’re joined by Sarah Brown, an Assistant Professor of Computer Science at the University of Rhode Island. In our conversation with Sarah, whose research focuses on Fairness in AI, we discuss why a “systems-level” approach is necessary when thinking about ethical and fairness issues in models and algorithms. We also explore Wiggum: a fairness forensics tool, which explores bias and allows for regular auditing of data, as well as her ongoing collaboration with a social psychologist to explore how people perceive ethics and fairness. Finally, we talk through the role of tools in assessing fairness and bias, and the importance of understanding the decisions the tools are making. The complete show notes for this episode can be found at https://twimlai.com/go/456. Subscribe: Apple Podcasts: https://tinyurl.com/twimlapplepodcast Spotify: https://tinyurl.com/twimlspotify Google Podcasts: https://podcasts.google.com/?feed=aHR0cHM6Ly90d2ltbGFpLmxpYnN5bi5jb20vcnNz RSS: https://twimlai.libsyn.com/rss Full episodes playlist: https://www.youtube.com/playlist?list=PLILZm3MRkvH83C46bZ4rPmB-jKWBltWkP Subscribe to our Youtube Channel: https://www.youtube.com/channel/UC7kjWIK1H8tfmFlzZO-wHMw?sub_confirmation=1 Podcast website: https://twimlai.com Sign up for our newsletter: https://twimlai.com/newsletter Check out our blog: https://twimlai.com/blog Follow us on Twitter: https://twitter.com/twimlai Follow us on Facebook: https://facebook.com/twimlai Follow us on Instagram: https://instagram.com/twimlai