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Machines We Trust
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Table of Contents

List of Figures
Preface
1 Introduction
I SETTING THE STAGE
2 Shortcuts to Artificial Intelligence
3 Mapping the Stony Road toward Trustworthy AI: Expectations, Problems, Conundrums
II ISSUES
4 The Issue of Bias: The Framing Powers of Machine Learning
5 Adjudicating with Inscrutable Decision Rules
6 Cobra AI: Exploring Some Unintended Consequences of Our Most Powerful Technology
7 The Importance of Prediction in Designing Artificial Intelligence Systems 
III PROSPECTS
8 A Human-Centered Agenda for Intelligible Machine Learning
9 The AI of Ethics
Contributors

About the Author

Marcello Pelillo is Professor of Computer Science at Ca' Foscari University of Venice. Teresa Scantamburlo is a postdoctoral researcher at the European Centre for Living Technology (ECLT), Ca' Foscari University of Venice.

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