Turing ASG Lecture, as part of the Turing AI for Science and Government initiative, in collaboration with the London School of Hygiene and Tropical Medicine.
About the event
Society is drowning in data and the current practice of learning from data is to apply traditional statistical methods that are too simplistic, arbitrarily chosen, and subject to manipulation. Nonetheless, these methods inform policy and science, affecting our sense of reality and judgements. This talk exposes this deceptive practice, and presents a solution — a principled and reproducible approach, termed targeted learning, for generating actionable and truthful information from complex, real-world data. This approach unifies causal inference, machine learning and deep statistical theory to answer causal questions with statistical confidence.