Isbn: 9789374126653 - ethics engine: building morality into machines (10 risultati)

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  • Lingua: Inglese

    Editore: Mindful Pages 2/3/2026, 2026

    9374126656 / 9789374126653

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    Da: BargainBookStores, Grand Rapids, MI, U.S.A.BargainBookStores

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    EUR 26,59

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    Paperback or Softback. Condizione: New. Ethics Engine: Building Morality Into Machines. Book.

  • Lingua: Inglese

    Editore: Mindful Pages, 2026

    9374126656 / 9789374126653

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    Da: California Books, Miami, FL, U.S.A.California Books

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    EUR 27,82

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  • Lingua: Inglese

    Editore: Unknown, 2025

    9374126656 / 9789374126653

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    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Unknown, 2025

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    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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    EUR 28,15

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    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Mindful Pages, 2025

    9374126656 / 9789374126653

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    EUR 36,55

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    Quantità: 4 disponibili

    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: Mindful Pages, 2025

    9374126656 / 9789374126653

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    Da: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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    EUR 42,98

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  • Lingua: Inglese

    Editore: Mindful Pages, 2025

    9374126656 / 9789374126653

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    EUR 37,12

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    Condizione: New. PRINT ON DEMAND.

  • Lingua: Inglese

    Editore: Alpha Editions, Delhi, 2025

    9374126656 / 9789374126653

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    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    EUR 33,63

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    Quantità: 1 disponibili

    Paperback. Condizione: new. Paperback. When software decides who gets a loan, a job interview, or medical attention, performance isn't enough-principle matters. This book is a practical blueprint for building systems that are useful, lawful, and worthy of trust. Moving beyond slogans about ethical ai, it shows product teams how to translate values into requirements, harms into tests, and judgement into accountable workflows. You'll learn how to diagnose algorithmic bias at its source, design for fairness in ai without tanking utility, and implement explainable decisions that actually change outcomes-not just narratives. Inside, you'll find a compact ai ethics framework that fuses philosophy with engineering: value specifications, harm tables, appeal flows, and audit trails you can put to work on day one. Clear guidance on ai governance turns compliance from a drag into an advantage, while patterns for human in the loop ensure people are empowered to override, not scapegoated for mistakes. Real-world case studies-from lending to content ranking-illustrate how accountable algorithms balance accuracy with dignity, and where responsible machine learning requires the most restraint: knowing when not to predict. Written for builders and leaders-engineers, data scientists, PMs, policy leads, founders-this is a field guide to data ethics you can ship. If you've ever been asked to "add fairness later," this book gives you the language, tools, and decision paths to build it in from the start. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Lingua: Inglese

    Editore: Mindful Pages, 2026

    9374126656 / 9789374126653

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 53,26

    EUR 30,50 spedizione 
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    Quantità: 1 disponibili

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - When software decides who gets a loan, a job interview, or medical attention, performance isn't enough-principle matters. This book is a practical blueprint for building systems that are useful, lawful, and worthy of trust. Moving beyond slogans about ethical ai, it shows product teams how to translate values into requirements, harms into tests, and judgement into accountable workflows. You'll learn how to diagnose algorithmic bias at its source, design for fairness in ai without tanking utility, and implement explainable decisions that actually change outcomes-not just narratives.Inside, you'll find a compact ai ethics framework that fuses philosophy with engineering: value specifications, harm tables, appeal flows, and audit trails you can put to work on day one. Clear guidance on ai governance turns compliance from a drag into an advantage, while patterns for human in the loop ensure people are empowered to override, not scapegoated for mistakes. Real-world case studies-from lending to content ranking-illustrate how accountable algorithms balance accuracy with dignity, and where responsible machine learning requires the most restraint: knowing when not to predict.Written for builders and leaders-engineers, data scientists, PMs, policy leads, founders-this is a field guide to data ethics you can ship. If you've ever been asked to 'add fairness later,' this book gives you the language, tools, and decision paths to build it in from the start.

  • Lingua: Inglese

    Editore: Mindful Pages, 2026

    9374126656 / 9789374126653

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    Da: preigu, Osnabrück, Germaniapreigu

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    EUR 33,60

    EUR 70,00 spedizione 
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    Quantità: 5 disponibili

    Taschenbuch. Condizione: Neu. Ethics Engine | Building Morality Into Machines | Levent Karaman | Taschenbuch | Englisch | 2026 | Mindful Pages | EAN 9789374126653 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.