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Artificial Intelligence meets behavioural science: The Human Behaviour-Change Project

To advance our understanding of behaviour change and apply that understanding to real-wold problems, evidence is needed about intervention effectiveness across contexts, and about mechanisms of action. Such evidence is currently produced on a vast but fragmented scale and more rapidly than humans can synthesise and access. The Human Behaviour Change Project brings together behavioural, computer and information scientists to build an Artificial Intelligence system to continually scan the world literature on behaviour change, extract key information and use this to build and update the scientific understanding of human behaviour to answer variants of the ‘big question’: ‘What works, compared with what, how well, for whom, in what settings, for what behaviours, for how long and why?’. A user interface will allow researchers, policy makers and practitioners to seek answers to their queries. The project will focus initially on the use-case of smoking cessation but the project team will make available resources, products and findings throughout the life of the project to encourage collaboration.