Daniele Magazzeni, Kings College London
Explainable Planning for Trustworthy Human-Autonomy Teaming
Departmental Seminar: a talk for everyone giving a good introduction to a topic.
As AI is 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 AI-driven behaviour, when the algorithms that drive it 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. -Bio: Dr. Daniele Magazzeni is Lecturer in Artificial Intelligence at King's College London. His research is in Artificial Intelligence Planning, with a particular focus on planning for robotics and autonomous systems, human-autonomy teaming, and the use of AI in innovative applications. Magazzeni is an elected member of ICAPS Executive Council. He is Editor-in-Chief of AI Communications. He was Conference Chair of ICAPS 2016, is Workshop Chair of IJCAI 2017, and will be chair of the Robotics track at ICAPS 2018. He is co-investigator in UK and EU projects. Daniele is scientific advisor and has collaborations and consultancy projects with a number of companies and organisations.