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  • 1
    Book
    Book
    Boston, Massachusetts :Harvard Business Review Press,
    UID:
    almafu_BV048412110
    Format: 204 Seiten : , Illustrationen ; , 24 cm.
    ISBN: 978-1-64782-281-1 , 1-64782-281-5
    Content: "The promise of artificial intelligence is automated decision-making at scale, but that means it also automates risk at scale. Are you prepared for that risk? Already, many companies have suffered real damage when their algorithms led to discriminatory, privacy-invading, and even deadly outcomes. Self-driving cars have hit pedestrians; HR algorithms have precluded women from job searches; mortgage systems have denied loans to qualified minorities. And often the companies who deployed the AI couldn't explain why the black box made the decision it did. In this environment, AI ethics isn't merely an academic curiosity, it's a business necessity. In Ethical Machines, Reid Blackman gives you all you need to understand AI ethics as a risk management challenge, then to build, procure, and deploy AI in an ethically (and thus reputationally, regulatory, and legally) safe way, and do it at scale. And don't worry, we're here to get work done, not to ponder deep and existential questions about ethics and technology. Blackman's clear and accessible writing helps make a complex and often misunderstood concept like ethics easy to grasp. You will understand ethical concepts while barely knowing you are taking them on. More importantly, Blackman makes ethics actionable. He tackles the big three ethical risks with AI-bias, explainability, and privacy-and tells you what to do (and what not to do) to mitigate ethical risks. With practical approaches to everything from how to write a strong statement of AI ethics principles to how to create teams that effectively evaluate ethical risks, Ethical Machines is the one guide you need to ensure you're using utterly unbiased, totally transparent, and remarkably respectful artificial intelligence"--
    Note: Introduction: AI for Not Bad -- Here's How You Should Think About Ethics -- Bias: In Search of Fair AI -- Explainability: The Space Between the Inputs and the Outputs -- Privacy: Ascending the Five Ethical Levels -- AI Ethics Statements that Actually Do Something -- Conclusions Executives Should Come To -- AI Ethics by Developers -- Conclusion: Two Surprises
    Additional Edition: Erscheint auch als Online-Ausgabe, EPUB Blackman, Reid Ethical machines Boston, Massachusetts : Harvard Business Review Press, [2022] ISBN 978-1-64782-282-8
    Language: English
    Subjects: Computer Science , Philosophy
    RVK:
    RVK:
    Keywords: Künstliche Intelligenz
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Boston, Massachusetts : Harvard Business Review Press
    UID:
    gbv_1819667146
    Format: 1 Online-Ressource (204 Seiten) , Illustrationen
    ISBN: 9781647822828
    Content: Intro -- Contents -- Introduction: AI for Good Not Bad -- Ch. 1: Here's How You Should Think about Ethics -- Ch. 2: Bias -- Ch. 3: Explainability -- Ch. 4: Privacy -- A Brief Interlude -- Ch. 5: AI Ethics Statements That Actually Do Something -- Ch. 6: Conclusions Executives Should Come To -- Ch. 7: AI Ethics for Developers -- Conclusion: Two Surprises -- Notes -- Index -- Acknowledgments -- About the Author.
    Note: Description based on publisher supplied metadata and other sources
    Additional Edition: ISBN 9781647822811
    Additional Edition: Erscheint auch als Druck-Ausgabe Blackman, Reid Ethical machines Boston, Massachusetts : Harvard Business Review Press, 2022 ISBN 9781647822811
    Additional Edition: ISBN 1647822815
    Language: English
    Keywords: Künstliche Intelligenz ; Ethik
    Library Location Call Number Volume/Issue/Year Availability
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