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AI for Behavioural Science

English

By (author): Stuart Mills

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.

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A01=Stuart MillsAge Group_UncategorizedAuthor_Stuart Millsautomatic-updateCategory1=Non-FictionCategory=JFMGCategory=PBCategory=PDRCategory=TJFCategory=TJFM1Category=UBJCategory=UMKCategory=UYCategory=UYQCategory=UYZCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€20 to €50PS=Forthcomingsoftlaunch

Will deliver when available. Publication date 07 Oct 2024

Product Details
  • Weight: 453g
  • Dimensions: 138 x 216mm
  • Publication Date: 07 Oct 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032064017

About Stuart Mills

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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