This book is a concise introduction to emerging concepts and ideas found
at the intersection of contemporary behavioural science and artificial
intelligence. The book explores how these disciplines interact, change,
and adapt to one another and what the implications of such an
interaction are for practice and society.
AI for Behavioural Science book begins by exploring the field of machine
behaviour, which advocates using behavioural science to investigate
artificial intelligence. This perspective is built upon to develop a
framework of terminology that treats humans and machines as comparable
entities possessing their own motive power. From here, the notion of
artificial intelligence systems becoming choice architects is explored
through a series of reconceptualisations. The architecting of choices is
reconceptualised as a process of selection from a set of choice
architectural designs, while human behaviour is reconceptualised in
terms of probabilistic outcomes. The material difference between the
so-called "manual nudging" and "automatic nudging" (or hypernudging) is
then explored. The book concludes with a discussion of who is
responsible for autonomous choice architects.