This episode launches us into the deep waters of ML interpretability with Jessica Schrouff.Jessica is a Senior Research Scientist at Google Research working on machine learning for healthcare. Before joining Google in 2019, she was a postdoctoral fellow at University College London (UK) and Stanford University (USA), developing machine learning techniques for neuroscience discovery and clinical predictions.Throughout her career, her interests have lied not only in the technical advancement of machine learning methods, but also in critical aspects of their deployment such as their credibility, fairness, robustness or interpretability.As you’ll hear, we are orbiting Jessica’s latest paper titled “Best of both worlds: local and global explanations with human-understandable concepts”. You will find lots more reference material in the show notes on the website.Jessica, thank you for joining us!

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