JST-CREST / IEEE-RAS Spring School on "Social and Artificial Intelligence for User-Friendly Robots"

17-24 March 2019, Shonan Village, Japan

Invited Speakers

  • Daniele Magazzeni, King's College London, United Kingdom
  • Daniele Magazzeni Title: Model-Based AI for Safe and Trusted Human-Autonomy Teaming
    Abstract : As autonomous systems are increasingly being adopted into application solutions, the challenge of supporting interaction with humans is becoming more apparent. Partly this is to support integrated working styles, in which humans and intelligent systems cooperate in problem-solving, but also it is a necessary step in the process of building trust as humans migrate greater responsibility to such systems. The challenge is to find effective ways to communicate the foundations of autonomous-system behaviours, when the algorithms that drive them are far from transparent to humans. In this talk we consider the opportunities that arise in AI Planning, exploiting the model-based representations that form a familiar and common basis for communication with users, particularly in scenarios involving human-autonomy teaming. In the talk we'll also present the set of new features available in the new recent version of ROSPlan.

    Bio: Daniele Magazzeni is Associate Professor in the Department of Informatics at King's College London, where he leads the Trusted Autonomous Systems hub and he is Co-Director of the Centre for Doctoral Training on Safe and Trusted AI. Dan's research interests are in Safe, Trusted and Explainable AI, with a particular focus on AI planning for robotics and autonomous systems, and human-autonomy teaming. Dan is the President-Elect of the ICAPS Executive Council. He was Conference Chair of ICAPS 2016 and Workshop Chair of IJCAI 2017. He is Co-Chair of the IJCAI-19 Workshop on XAI, and Co-chair of the ICAPS-19 Workshop on Explainable Planning.