AI for Behavioural Science

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A01=Stuart Mills
Ai
AI System
Author_Stuart Mills
autonomous systems
Behavioural Logic
Behavioural Science
Black Boxes
Care Home Facility
Category=JMR
Category=KCK
Category=UYQ
Choice Architect
Choice Architectural Designs
Choice Architecture
cognitive automation
decision science
Default Option
digital nudging
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
eq_society-politics
ethical algorithms
Follow
Machine Behaviour
Mental Health Disability
News Feed Algorithm
Person A
probabilistic modelling
Real Time Reconfiguration
Responsibility Gap
responsible AI design
Smart Machine
Speed Hump
Stack Overflow
Strange Loop
Vice Versa
Vom Brocke
Worthwhile

Product details

  • ISBN 9781032066691
  • Weight: 254g
  • Dimensions: 138 x 216mm
  • Publication Date: 08 Dec 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

Stuart Mills is a behavioural economist with a background in economics and political economy. His research focuses on nudge theory, personalisation, and digital economy. He is interested in the intersection of technology, data, and behavioural science within public policy and finance, as well as the wider political economy implications.

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