AI for Behavioural Science

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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.

Author(s): Stuart Mills
Publisher: CRC Press
Year: 2022

Language: English
Pages: 128
City: Boca Raton

Cover
Half Title
Title Page
Copyright Page
Table of Contents
Introduction
Chapter 1 Human Behaviour and Machine Behaviour
Machine Behaviour
Understanding Black Boxes
Are Machines Behaving?
Machines as Mirrors
Programming Conflict
Shifting Focus
Summary: Chapter 1
Notes
Chapter 2 {Definitions: “…”}
Introduction
Behaviour
Intelligence
Machine
Summary: Chapter 2
Notes
Chapter 3 The Autonomous Choice Architect
Introduction
Reconceptualisation (1): Sets of Possible Designs
A Note on Potency
Architecting Autonomously
The Policymaker
The Retailer
The Informer
The Shapeshifter
Reconceptualisation (2): Nudging, through the Eye of a Machine
Behavioural Friction
Inverted-U
What’s in a Shape?
Summary: Chapter 3
Notes
Chapter 4 AI Knows Best
Introduction
“What Is a Hypernudge?” Part 1
“What Is a Hypernudge?” Part 2
Dynamism
Personalisation
Real-time (Re)Configuration
A Note on Predictive Capacity and Hiddenness
Three Burdens
The Burden of Avoidance
The Burden of Understanding
The Burden of Experimentation
Summary: Chapter 4
Notes
Chapter 5 Some Concluding Discussions
Strange Loops and Strange Realities
Distance from Action
Assumption of Error
Behavioural Logic
The Return of Behaviourism?
Summary: Chapter 5
Notes
References
Index