Seminar on February 28, 2022

Title

Trustworthy Human-AI Partnerships

Speaker

Prof. Gopal Ramchurn, University of Southampton, UK

When and Where

February 28, 2022, 16:00-17:00
Online on Zoom, see TAS Resilience Node for registration or send an email to Valeria Cardellini

Abstract

Recent advances in AI, Machine learning and Robotics have significantly enhanced the capabilities of machines. Machine intelligence is now able to support human decision making, augment human capabilities, and, in some cases, take over control from humans and act fully autonomously. Machines are becoming more tightly embedded into systems alongside humans, interacting and influencing each other in a number of ways. Such human-AI partnerships are a new form of socio-technical system in which the potential synergies between humans and machines are much more fully utilised. Designing, building, and deploying human-AI partnerships present a number of new challenges as we begin to understand their impact on our physical and mental well-being, our personal freedoms, and those of the wider society. In this talk I will focus on the challenges in designing trustworthy human-AI partnerships. I will explore the multiple elements of trust in human-AI partnerships and discuss the associated research challenges.I will also aim to identify the risks associated with human-AI partnerships and therefore determine the associated measures to mitigate these risks. I will conclude by giving a brief overview of the UKRI Trustworthy Autonomous Systems Programme, a £33m programme launched in 2020 involving over 20 universities, 100+ industry partners, and over 200 researchers.

Short Bio

Gopal Ramchurn is a Professor of Artificial Intelligence, in the School of Electronics and Computer Science, at the University of Southampton. He is also the director of the UKRI Trustworthy Autonomous Systems Hub, the focal point of the £33m UKRI Trustworthy Autonomous Systems Programme, a Turing Fellow, associated with the Alan Turing Institute, and a Fellow of the Institution of Engineering and Technology.

He is interested in the development of core AI technologies and Human-AI partnerships and their application to key sustainability challenges. This includes domains such as smart energy systems, Smart Cities, and disaster response. His research combines a number of techniques from Machine learning, AI, Game theory, and HCI.