Advancing Artificial Intelligence (AI) for the benefit of humanity
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.
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.
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.
Professor of Natural Language Processing
Per Ola Kristensson
Professor of Interactive Systems Engineering
Director of Research in Psychiatric Neuroimaging
Professor in Psychology and Education
Professor of Robotics
NIHR Anna Freud Clinical Lecturer in Child Psychiatry
Researcher in Global Health Innovation
PhD Student in Natural Language Processing
Harding Professor of Statistics in Public Life
Prince of Wales Fellow in Pathways to a Circular Economy
Professor of Professor of Molecular Informatics
Professor of Interdisciplinary Design
Professor of Information Engineering
Professor of Macroeconomics
Professor of Natural Language Processing
Professor in Law and the Open Society
Sir Kirby Laing Professor of Civil Engineering
Professor of Affective Intelligence and Robotics
Assistant Professor in Music and Science
Assistant Professor in Digital Humanities
Professor of Artificial Intelligence
Professor of Experimental Psychology
Winton Advanced Fellow, Royal Society University Research Fellow in Physics
Associate Professor in the Sociology of New Media and Digital Technology
Professor of Computational and Molecular Biology
Leverhulme Early Career Fellow in Law
Accelerate Science Research Fellow
Professor of Senobiology
Postdoctoral Researcher in Clinical Psychology
Professor in Economy
Associate Professor in Artificial Intelligence
Professor of Personality and Individual Differences
Professor of Applied Mathematics
Professor of Environmental Data Science
Principal Research Associate in Technology and Law
Professor of Computational Linguistics and Artificial Intelligence
Professor of Music
Professor of Machine Learning
Principal Research Fellow in Machine Learning
Associate Professor in Natural Language Processing
Royal Society Univesity Research Fellow in Natural Language Processing