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  • Softwareentwicklung  (2)
  • Soziale Verantwortung  (1)
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  • 1
    UID:
    b3kat_BV048641023
    Format: xxv, 326 Seiten , Illustrationen, Diagramme , 24 cm
    ISBN: 9781119821182
    Note: Part I. Transparency: Oppression by… ; Morality ; Bias ; Computational thinking in practice – Part II. Accountability: Messy gathering grove ; Inconsistent storage sanctuary ; Circus of misguided analysis ; Double-edged visualization sword – Part III. Governance: By the law ; By algorithmic influencers ; By the public
    Language: English
    Subjects: Computer Science , Sociology
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    RVK:
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    Keywords: Softwareentwicklung ; Diskriminierung
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Newark : John Wiley & Sons, Incorporated
    UID:
    b3kat_BV048831150
    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
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    RVK:
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    Keywords: Softwareentwicklung ; Diskriminierung
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    gbv_1831297345
    Format: xv, 179 Seiten , Illustrationen, Diagramme , 24 cm
    ISBN: 9789811266621 , 9780000991188
    Content: "In the current era, people and society have grown increasingly reliant on artificial intelligence (AI) technologies. AI has the potential to drive us towards a future in which all of humanity flourishes. It also comes with substantial risks for oppression and calamity. In response, researchers and organizations have been working to publish principles and develop AI regulations for the responsible use of AI in consequential application domains. However, these theoretically formulated principles and regulations also need to be turned into actionable algorithms to materialize AI for good. This book introduces a unified perspective of Socially Responsible AI to help bridge conceptual AI principles to responsible AI practice. It begins with an interdisciplinary definition of socially responsible AI and the AI responsibility pyramid. Existing efforts seeking to materialize the mainstream responsible AI principles are then presented. The book also discusses how to leverage advanced AI techniques to address the challenging societal issues through Protecting, Informing, and Preventing, and concludes with open problems and challenges. This book serves as a convenient entry point for researchers, practitioners, and students to understand the problems and challenges of socially responsible AI, and to identify how their areas of expertise can contribute to making AI socially responsible"--
    Note: Literaturverzeichnis: Seite 161-175
    Additional Edition: ISBN 9789811266638
    Additional Edition: ISBN 9789811266645
    Additional Edition: Erscheint auch als Online-Ausgabe Lu, Chen Socially responsible AI New Jersey : World Scientific, 2023 ISBN 9789811266638
    Additional Edition: ISBN 9789811266645
    Language: English
    Keywords: Künstliche Intelligenz ; Soziale Verantwortung ; Theorie ; Praxis
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