The future of Digital Biomarkers, Responsible AI and Wearables w/Duke Prof. of AI Dr. Brinnae Bent

Episode notes

Summary In this episode of the Masters Automation Podcast, Dr. Brinnae Bent shares her journey from a childhood filled with diverse experiences to becoming a leader in the intersection of healthcare and artificial intelligence. She discusses her work on digital biomarkers, the evolution of wearable technology, and the importance of responsible AI in healthcare. Dr. Bent also delves into her experiences as an ultra-marathoner, the impact of stress on performance, and the challenges of predictive healthcare models. In this conversation, Brinnae Bent discusses the complexities of AI, particularly in the context of healthcare and neuroscience. She emphasizes the importance of explainability in AI models, especially large language models (LLMs), and how they can be made more interpretable. The discussion also covers the role of education in shaping future technologies, with a focus on student engagement and the integration of AI in teaching. Bent shares insights on how students are approaching problem-solving in AI and the significance of open-ended projects. The conversation concludes with rapid-fire questions that explore personal insights and future aspirations in the field of AI.