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Machines We Trust: Perspectives on Dependable AI PDF

175 Pages·2021·3.294 MB·English
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Machines We Trust Machines We Trust PerspectivesonDependableAI EditedbyMarcelloPelilloandTeresaScantamburlo TheMITPress Cambridge,Massachusetts London,England (cid:2)c 2021 Massachusetts Institute of Technology All rights reserved. No part of this book may be reproduced in any form or by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher. The MIT Press would like to thank the anonymous peer reviewers who provided comments on drafts of this book. The generous work of academic experts is essential for establishing the authority and quality of our publications. We acknowledge with gratitude the contributions of these otherwise uncredited readers. This book was set in Times New Roman by Westchester Publishing Services. Library of Congress Cataloging-in-Publication Data Names: Pelillo, Marcello, editor. | Scantamburlo, Teresa, editor. Title: Machines we trust : perspectives on dependable AI / edited by Marcello Pelillo and Teresa Scantamburlo. Description: Cambridge, Massachusetts : The MIT Press, [2021] | Includes bibliographical references and index. Identifiers: LCCN 2020047215 | ISBN 9780262542098 (paperback) Subjects: LCSH: Artificial intelligence—Moral and ethical aspects. | Artificial intelligence—Social aspects. Classification: LCC Q334.7 .M337 2021 | DDC 174/.90063—dc23 LC record available at https://lccn.loc.gov/2020047215 ToRosanna,Claudia,andValerio—MP ToMatteo—TS Contents ListofFigures ix Preface xi 1 Introduction 1 MarcelloPelilloandTeresaScantamburlo I SETTINGTHESTAGE 2 ShortcutstoArtificialIntelligence 11 NelloCristianini 3 MappingtheStonyRoadtowardTrustworthyAI:Expectations, Problems,Conundrums 27 GernotRieder,JudithSimon,andPak-HangWong II ISSUES 4 TheIssueofBias:TheFramingPowersofMachineLearning 43 MireilleHildebrandt 5 AdjudicatingwithInscrutableDecisionRules 61 KatherineJ.Strandburg 6 CobraAI:ExploringSomeUnintendedConsequencesofOurMost PowerfulTechnology 87 FedericoCabitza 7 TheImportanceofPredictioninDesigningArtificial IntelligenceSystems 105 FrancescoAmigoniandViolaSchiaffonati viii Contents III PROSPECTS 8 AHuman-CenteredAgendaforIntelligibleMachineLearning 123 JenniferWortmanVaughanandHannaWallach 9 TheAIofEthics 139 RobertC.Williamson Contributors 161 ListofFigures 4.1 Justificationofinductivereferenceasdeductivereference. 45 5.1 Schematicofexplanatoryflowsinasimpledecisionsystem. 62 5.2 Schematicofexplanatoryflowsinadelegated,distributed decisionsystem. 62 6.1 Theprocesses,outputsandpotentialfailuresoccurringintheloop betweenhumangroundtruthing,machinelabeling,andhuman decisions,whichpossiblyconfirmthemachinelabelsinto a“new”truth. 96 6.2 Threeprogrammedinefficienciesinamedicaldecisionsupportsystem. 101 7.1 ConceptualizationoftheprocessforthedevelopmentofanAIsystem. 108

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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.