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Explainable AI (xai)

The Explainable AI (XAI) program aims to create a suite of machine learning techniques that: Produce more explainable models, while maintaining a high level of learning performance (prediction accuracy); and Enable human users to understand, appropriately trust, and effectively manage the emerging generation of artificially intelligent partners. Guest talk by ADDO AI Associate Partner Daniele Magazzeni

DANIELE MAGAZZENI

Daniele is Head of Artificial Intelligence Planning at King's College London, and Member of ICAPS Executive Council. He is Assistant Professor of Computer Science at King's College London and his areas of interest are in Artificial Intelligence Planning with a focus on hybrid systems, robotics and autonomous systems (RAS), smart cities. Dan consults and writes widely on the on the topic of artificial intelligence. Dr. Magazzeni holds a PhD in Computer Science from University of L'Aquila, Italy.

Recent articles on XAI

  • https://www.ft.com/content/92e3f296-646c-11e7-8526-7b38dcaef614
  • http://www.sciencemag.org/news/2017/07/how-ai-detectives-are-cracking-open-black-box-deep-learning
Earlier Event: August 30
Fintech and The Future of Payments