Science Actually is a podcast by Imperial College London students and staff. Are you keen to find out more about current and future research, and to discover how not every question will have one answer? In each episode a member of our podcast team interviews an Imperial expert to see if they have the answers to our burning questions. In the first series, we dive into myths surrounding different aspects of student life: memory, food, sleep and partying. The second series revolves around the science that is shaping our future. Intro by Clara Tillous Oliva, jingle by Hendrik Vogt, artwork by Ali Al-Sikab. Check out our website (https://www.imperial.ac.uk/medicine/study/undergraduate/science-actually-podcast/), or follow us on Instagram (https://www.instagram.com/science_actually_podcast/) and Twitter (@ScienceAccPod)
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Biases and Artificial Intelligence: How should we cope with the biases?
In this episode, Ovidiu Serban explores the potential solutions to Artificial Intelligence biases from a business and computational point of view with two Imperial College experts. Dr Mark Kennedy is an Associate Professor at the Business School and co-director of the Data Science Institute. Dr Kennedy was educated at Northwestern University and Stanford University. Before coming to Imperial, Dr Kennedy was at the University of Southern California's Marshall School of Business. Prof Francesca Toni is a Professor in Computational Logic, and the JP Morgan Research Chair in Argumentation-based Interactive Explainable AI, in the Department of Computing at Imperial College London. She is also a member of the AI@Imperial Network of Excellence and the leader of the Computational Logic and Argumentation research group. More recently, she became the founding leader of the Centre for eXplainable AI (XAI). Ultimately, this episode will explore how Imperial experts are approaching one of the biggest challenges in Artificial Intelligence and answer the question: Can we remove biases from Machine Learning models, or is this something we’d have to live with? Check out our website (www.imperial.ac.uk/medicine/study/…tually-podcast/), or follow us on Instagram (www.instagram.com/science_actually_podcast/) and Twitter (@ScienceAccPod)