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The Cambridge Handbook of Responsible Artificial Intelligence

Interdisciplinary Perspectives
Edited by Silja Voeneky, Philipp Kellmeyer, Oliver Mueller, Wolfram Burgard
Published online:

28 October 2022

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17 November 2022
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In the past decade, artificial intelligence (AI) has become a disruptive force around the world, offering enormous potential for innovation but also creating hazards and risks for individuals and the societies in which they live. This volume addresses the most pressing philosophical, ethical, legal, and societal challenges posed by AI. Contributors from different disciplines and sectors explore the foundational and normative aspects of responsible AI and provide a basis for a transdisciplinary approach to responsible AI. This work, which is designed to foster future discussions to develop proportional approaches to AI governance, will enable scholars, scientists, and other actors to identify normative frameworks for AI to allow societies, states, and the international community to unlock the potential for responsible innovation in this critical field. This book is also available as Open Access on Cambridge Core.

Appendix: Mathematical Background and Notation
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

Published online:

18 August 2022

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25 August 2022, pp 335-360
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Part IV - Bayesian Cognitive Modelling
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

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18 August 2022

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25 August 2022, pp 285-286
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Part I - Introduction to Bayesian Methods
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

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18 August 2022

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25 August 2022, pp 1-2
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Contributors
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

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18 August 2022

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25 August 2022, pp vii-viii
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2 - Bayesian Statistics
from Part I - Introduction to Bayesian Methods
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

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18 August 2022

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25 August 2022, pp 81-114
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8 - Preferential Bayesian Optimisation for Visual Design
from Part III - Bayesian Optimisation in Interaction Design
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

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18 August 2022

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25 August 2022, pp 239-258
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Preface
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

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18 August 2022

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25 August 2022, pp ix-xii
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Summary

Introduction, synopsis, and acknowledgments.

11 - Bayesian Parameter Inference for Cognitive Simulators
from Part IV - Bayesian Cognitive Modelling
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

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18 August 2022

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25 August 2022, pp 308-334
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7 - Human–Computer Interaction Design and Inverse Problems
from Part II - Probabilistic Interfaces and Inference of Intent
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

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18 August 2022

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25 August 2022, pp 212-236
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9 - Bayesian Optimisation of Interface Features
from Part III - Bayesian Optimisation in Interaction Design
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

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18 August 2022

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25 August 2022, pp 259-284
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Frontmatter
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

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18 August 2022

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25 August 2022, pp i-iv
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Contents
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

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18 August 2022

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25 August 2022, pp v-vi
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Part III - Bayesian Optimisation in Interaction Design
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

Published online:

18 August 2022

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25 August 2022, pp 237-238
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4 - Bayesian Command Selection
from Part II - Probabilistic Interfaces and Inference of Intent
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

Published online:

18 August 2022

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25 August 2022, pp 134-162
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1 - An Introduction to Bayesian Methods for Interaction Design
from Part I - Introduction to Bayesian Methods
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

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18 August 2022

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25 August 2022, pp 3-80
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Part II - Probabilistic Interfaces and Inference of Intent
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

Published online:

18 August 2022

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25 August 2022, pp 115-116
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3 - Bayesian Information Gain to Design Interaction
from Part II - Probabilistic Interfaces and Inference of Intent
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

Published online:

18 August 2022

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25 August 2022, pp 117-133
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5 - Probabilistic UI Representation and Reasoning in Touch Interfaces
from Part II - Probabilistic Interfaces and Inference of Intent
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

Published online:

18 August 2022

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25 August 2022, pp 163-187
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10 - Cue Integration in Input Performance
from Part IV - Bayesian Cognitive Modelling
Edited by John H. Williamson, University of Glasgow, Antti Oulasvirta, Aalto University, Finland, Per Ola Kristensson, University of Cambridge, Nikola Banovic, University of Michigan, Ann Arbor
Book:

Bayesian Methods for Interaction and Design

Published online:

18 August 2022

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25 August 2022, pp 287-307
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2758 results in Computing and Society

The Cambridge Handbook of Responsible Artificial Intelligence

Appendix: Mathematical Background and Notation

Part IV - Bayesian Cognitive Modelling

Part I - Introduction to Bayesian Methods

Contributors

2 - Bayesian Statistics

8 - Preferential Bayesian Optimisation for Visual Design

Preface

Summary

11 - Bayesian Parameter Inference for Cognitive Simulators

7 - Human–Computer Interaction Design and Inverse Problems

9 - Bayesian Optimisation of Interface Features

Frontmatter

Contents

Part III - Bayesian Optimisation in Interaction Design

4 - Bayesian Command Selection

1 - An Introduction to Bayesian Methods for Interaction Design

Part II - Probabilistic Interfaces and Inference of Intent

3 - Bayesian Information Gain to Design Interaction

5 - Probabilistic UI Representation and Reasoning in Touch Interfaces

10 - Cue Integration in Input Performance

Computing and Society

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2758 results in Computing and Society

The Cambridge Handbook of Responsible Artificial Intelligence

Summary