By using our website, you agree to the use of our cookies.

About Us

Advancing Artificial Intelligence (AI) for the benefit of humanity

Overview

The Centre for Human-Inspired Artificial Intelligence (CHIA) is a new centre within the University of Cambridge – a world-leading institution with more than 800 years of excellence in education, learning and research.

The founding principle of CHIA is to advance Artificial Intelligence (AI) for the benefit humanity.

The Centre brings together an interdisciplinary community of researchers to investigate the innovative ways in which human and machine intelligence can be combined to yield AI which is capable of contributing to social and global progress.

CHIA pushes the frontiers of knowledge in this interdisciplinary approach to AI, and plays a leading role in educating the next generation of AI scientists in the area.

Designed to deliver both academic and real-world impact, the Centre seeks to partner with academic, industrial, and other organizations that share interest in human-inspired AI.

Mission

Artificial Intelligence is one of the most rapidly developing technologies today. It is predicted to transform much of our society, with far-reaching human implications. While AI has the potential to tackle some of the world’s most pressing problems – ranging from poverty to pandemics, and large-scale conflicts to natural disasters – it will need to become more human to unlock this potential.

This next generation AI will not only rely on technological advances, but equally on our understanding of the human existence in all its forms: cognitive, social, creative and biological. It will combine cutting-edge machine intelligence with rich insights contributed by humanities, social, cognitive, brain, biomedical and environmental sciences. An interdisciplinary approach of this nature will yield AI that can best serve humanity.

People

CHIA brings together diverse researchers across the University to innovate next generation, human-inspired AI. It connects academics working in core and applied areas of AI (e.g., within computer science, engineering, mathematics) with world-leading experts in a wide range of human-centric disciplines (e.g., social, cognitive, brain, biomedical, environmental sciences).

The Centre is also the hub where Cambridge academics can work in collaboration with industry and other stakeholders to guide debate on research priorities, trust in new technologies, and the societal impact of AI.

Leadership

Steering Committee

John Aston

Harding Professor of Statistics in Public Life

Anna Barford

Prince of Wales Fellow in Pathways to a Circular Economy

Andreas Bender

Professor of Professor of Molecular Informatics

Alan Blackwell

Professor of Interdisciplinary Design

Bill Byrne

Professor of Information Engineering

Vasco Carvalho

Professor of Macroeconomics

Nigel Collier

Professor of Natural Language Processing

David Erdos

Professor in Law and the Open Society

Mark Girolami

Sir Kirby Laing Professor of Civil Engineering

Hatice Gunes

Professor of Affective Intelligence and Robotics

Peter Harrison

Assistant Professor in Music and Science

Leonardo Impett

Assistant Professor in Digital Humanities

Mateja Jamnik

Professor of Artificial Intelligence

Zoe Kourtzi

Professor of Experimental Psychology

Alpha Lee

Winton Advanced Fellow, Royal Society University Research Fellow in Physics

Ella McPherson

Associate Professor in the Sociology of New Media and Digital Technology

Gos Micklem

Professor of Computational and Molecular Biology

Christopher Markou

Leverhulme Early Career Fellow in Law

Sarah Morgan

Accelerate Science Research Fellow

Masashi Narita

Professor of Senobiology

Christopher Rauh

Professor in Economy

Roi Reichart

Associate Professor in Artificial Intelligence

Jason Rentflow

Professor of Personality and Individual Differences

Evis Sala

Professor of Oncological Imaging

Carola-Bibiane Schönlieb

Professor of Applied Mathematics

Emily Shuckburgh

Professor of Environmental Data Science

Jat Singh

Principal Research Associate in Technology and Law

Kumiko Tanaka-Ishii

Professor of Computational Linguistics and Artificial Intelligence

David Trippett

Professor of Music

Richard Turner

Professor of Machine Learning

Adrian Weller

Principal Research Fellow in Machine Learning

Andreas Vlachos

Associate Professor in Natural Language Processing