#29 AI Series: King's College London - D. Watson
Details
We are excited to feature David Watson, who is currently a Lecturer at King's College London and will discuss "Can Humans Flourish in the Age of AI?", lasting approximately 45 minutes. After the talk, seize the opportunity to connect with fellow AI enthusiasts to share ideas and questions while enjoying free drinks and pizza. Door close by 7.15pm, so please come early! Also, "attend"ing (RSVP) here on Meetup is strictly necessary to be guaranteed entry.
Please note that Meetup has recently been quite keen on promoting its Plus program. However, you are not obligated to purchase it, as both our events and the platform remain free.
Who is this event for?
This event is open to everyone interested in state-of-the-art AI research. We especially design it for students, PhD candidates, academic researchers, and industry professionals with a research focus in machine learning.
Abstract: TBD
Bio: David is a Lecturer in Artificial Intelligence at King’s College London, where his research spans machine learning, philosophy of science, and computational biology. He received his DPhil from the University of Oxford, focusing on algorithmic fairness and explainability, and was previously a Postdoctoral Research Fellow in the Department of Statistical Science at University College London, working on causal discovery and inference. He also serves as an Associate Editor at Minds & Machines and contributes as a Data Scientist at Queen Mary University’s Centre for Translational Bioinformatics.
We are BLISS e.V., the AI organization in Berlin that connects like-minded individuals who share great interest and passion for the field of machine learning. This winter 2025/26, we will, again, host an exciting speaker series on site in Berlin, featuring excellent researchers from Tübingen AI Center, DeepMind, Microsoft, King's College London, cohere, and ETH Zürich.
Website: https://bliss.berlin
Youtube: https://www.youtube.com/@bliss.ev.berlin
Disclaimer: By attending this event you agree to be photographed.