Making AI Human Again: The Importance of Explainable AI (XAI)

Philip Pilgerstorfer, Data Scientist, QuantumBlack, a McKinsey Company Abstract: Proliferation of machine learning techniques have led to more companies driving their decision-making process with complex models. In this increasingly fast paced world, it is becoming more difficult to understand how AI systems are making our everyday decisions. Along with increased regulation, there is a growing demand to build explainable models without compromising performance. In this session we will present how QuantumBlack is using XAI to drive adoption, diagnose bias, and deliver impact across organisations. Bio: Philip Pilgerstorfer is a Data Scientist at QuantumBlack. He has delivered projects in manufacturing, oil and gas, motorsports and pharmaceutical. He is a contributor to QuantumBlack's internal R&D efforts like Explainable AI (XAI) and on causal inference. Philip's academic background is in econometrics, statistics, and machine learning.