In this episode, we are joined by Farhana Faruqe, a Data Scientist at Children’s National Health System and a Ph.D. candidate in Human-Technology Collaboration at The George Washington University.
Farhana outlines the various applications and developments in AI Ethics including Explainable AI and Trustworthy AI. We talk about what it means for a model or algorithm to be trustworthy and how we can mitigate risk at different stages of the data science pipeline. Finally, Farhana summarizes her recent publication “Monitoring Trust in Human-Machine Interactions for Public Sector Applications” where she measures people's trust in Artificial Intelligence and Machine Learning.
Farhana Faruqe LinkedIn [https://www.linkedin.com/in/farhana-faruqe-98884013/]
Episode 9 w/ Larry Medsker HERE [https://theweeklyregression.buzzsprout.com/1630165/8286326-ep09-designing-ethical-ai-systems-with-dr-larry-medsker]
Follow the TWR Podcast on:
Instagram HERE [https://www.instagram.com/theweeklyregression/]
Twitter HERE [https://twitter.com/TheWeeklyReg]
LinkedIn HERE [https://www.linkedin.com/company/the-weekly-regres]