Format:
1 Online-Ressource (355 Seiten)
ISBN:
9781119821199
Note:
Description based on publisher supplied metadata and other sources
,
Cover -- Title Page -- Copyright Page -- About the Author -- About the Technical Editor -- Acknowledgments -- Contents -- Foreword -- Introduction -- Part I Transparency -- Chapter 1 Oppression By. . . -- The Law -- The Science -- Summary -- Notes -- Recommended Reading -- Chapter 2 Morality -- Data Is All Around Us -- Morality and Technology -- Misconceptions of Data Ethics -- Limits of Tech and Data Ethics -- Summary -- Notes -- Chapter 3 Bias -- Types of Bias -- Before You Code -- Bias Messaging -- Summary -- Notes -- Chapter 4 Computational Thinking in Practice -- Ready to Code -- Algorithmic Justice Practice -- Code Cloning -- Summary -- Notes -- Part II Accountability -- Chapter 5 Messy Gathering Grove -- Ask the Why Question -- Collection -- Reformat -- Summary -- Notes -- Chapter 6 Inconsistent Storage Sanctuary -- Ask the "What" Question -- Files, Sheets, and the Cloud -- Modeling Content Associations -- Manipulating with SQL -- Summary -- Notes -- Chapter 7 Circus of Misguided Analysis -- Ask the "How" Question -- Misevaluating the "Cleaned" Dataset -- Overautomating k, K, and Thresholds -- Not Estimating Algorithmic Risk at Scale -- Summary -- Notes -- Chapter 8 Double-Edged Visualization Sword -- Ask the "When" Question -- Critiquing Visual Construction -- Pretty Picture Mirage -- Summary -- Notes -- Part III Governance -- Chapter 9 By the Law -- Federal and State Legislation -- International and Transatlantic Legislation -- Regulating the Tech Sector -- Summary -- Notes -- Chapter 10 By Algorithmic Influencers -- Group (Re)Think -- Flyaway Fairness -- Moderation Modes -- Summary -- Notes -- Chapter 11 By the Public -- Freeing the Underestimated -- Learning Data Civics -- Condemning the Original Stain -- Tech Safety in Numbers -- Summary -- Notes -- Appendix A Code for app.py -- A -- B -- C -- D -- Appendix B Code for screen.py -- A.
,
B -- C -- Appendix C Code for search.py -- A -- B -- C -- D -- Appendix D Pseudocode for faceit.py -- Appendix E The Data Visualisation Catalogue's Visualization Types -- Appendix F Glossary -- Index -- EULA.
Additional Edition:
Erscheint auch als Druck-Ausgabe Gebru, Timnit Data Conscience Newark : John Wiley & Sons, Incorporated,c2022 ISBN 9781119821182
Language:
English
Subjects:
Computer Science
,
Sociology
Keywords:
Softwareentwicklung
;
Diskriminierung
