ISBN: 9798274742658 - machine learning, human cost: two tales of ai, medicine, and morality (6 risultati)

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  • Lingua: Inglese

    Editore: Independently Published Jun 2026, 2026

    9798274742658

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

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    Condizione: Nuovo

    EUR 30,67

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. Neuware - In an era when algorithms increasingly shape who is admitted, hired, and heard, two provocative novellas expose the hidden human cost of machine-mediated judgment. In Weighted for Bias, a pre-med student discovers that a medical school's admissions algorithm-built to eliminate prejudice-has quietly learned to reproduce it. As institutional values collide with data-driven decisions, the Dean must confront the uncomfortable truth: technology cannot fix a bias we refuse to name. In The Capture Protocol, a physician-executive becomes the target of an AI-powered recruitment system that extracts more than career insights. What begins as professional curiosity spirals into a battle against an opaque network of data harvesters, engineered incentives, and algorithmic deception. When the physician plants the digital equivalent of a Trojan Horse to expose the system's fraud, the result is a chilling lesson in how confident machines can be-and how wrong. Together, these stories probe the fragile intersection of artificial intelligence, ethics, and medicine, revealing how even the most sophisticated systems inherit the blind spots of their designers. With the precision of a physician and the insight of a storyteller, Arthur Lazarus challenges us to reconsider trust in the age of automated judgment. Timely, unsettling, and deeply human, Machine Learning, Human Cost asks a question that grows more urgent by the day: When our systems learn from us, what exactly are we teaching them.…

  • Lingua: Inglese

    Editore: Independently Published, 2026

    9798274742658

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    • Print on Demand

    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    Condizione: Nuovo

    EUR 20,05

     Spedizione gratuita 
    Spedito in U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. In an era when algorithms increasingly shape who is admitted, hired, and heard, two provocative novellas expose the hidden human cost of machine-mediated judgment. In Weighted for Bias, a pre-med student discovers that a medical school's admissions algorithm-built to eliminate prejudice-has quietly learned to reproduce it. As institutional values collide with data-driven decisions, the Dean must confront the uncomfortable truth: technology cannot fix a bias we refuse to name. In The Capture Protocol, a physician-executive becomes the target of an AI-powered recruitment system that extracts more than career insights. What begins as professional curiosity spirals into a battle against an opaque network of data harvesters, engineered incentives, and algorithmic deception. When the physician plants the digital equivalent of a Trojan Horse to expose the system's fraud, the result is a chilling lesson in how confident machines can be-and how wrong. Together, these stories probe the fragile intersection of artificial intelligence, ethics, and medicine, revealing how even the most sophisticated systems inherit the blind spots of their designers. With the precision of a physician and the insight of a storyteller, Arthur Lazarus challenges us to reconsider trust in the age of automated judgment. Timely, unsettling, and deeply human, Machine Learning, Human Cost asks a question that grows more urgent by the day: When our systems learn from us, what exactly are we teaching them? This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Lingua: Inglese

    Editore: Independently published, 2026

    9798274742658

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    • Print on Demand

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

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    Condizione: Nuovo

    EUR 20,06

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    Spedito in U.S.A.

    Quantità: Più di 20 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Lingua: Inglese

    Editore: Independently published, 2026

    9798274742658

    • Brossura
    • Print on Demand

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

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    Condizione: Nuovo

    EUR 19,30

    EUR 2,68 spedizione 
    Spedito in U.S.A.

    Quantità: Più di 20 disponibili

    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: Independently published, 2026

    9798274742658

    • Brossura
    • Print on Demand

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

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    Condizione: Nuovo

    EUR 17,84

    EUR 4,99 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: Più di 20 disponibili

    PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Lingua: Inglese

    Editore: Independently Published, 2026

    9798274742658

    • Brossura
    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    Condizione: Nuovo

    EUR 22,21

    EUR 44,35 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. In an era when algorithms increasingly shape who is admitted, hired, and heard, two provocative novellas expose the hidden human cost of machine-mediated judgment. In Weighted for Bias, a pre-med student discovers that a medical school's admissions algorithm-built to eliminate prejudice-has quietly learned to reproduce it. As institutional values collide with data-driven decisions, the Dean must confront the uncomfortable truth: technology cannot fix a bias we refuse to name. In The Capture Protocol, a physician-executive becomes the target of an AI-powered recruitment system that extracts more than career insights. What begins as professional curiosity spirals into a battle against an opaque network of data harvesters, engineered incentives, and algorithmic deception. When the physician plants the digital equivalent of a Trojan Horse to expose the system's fraud, the result is a chilling lesson in how confident machines can be-and how wrong. Together, these stories probe the fragile intersection of artificial intelligence, ethics, and medicine, revealing how even the most sophisticated systems inherit the blind spots of their designers. With the precision of a physician and the insight of a storyteller, Arthur Lazarus challenges us to reconsider trust in the age of automated judgment. Timely, unsettling, and deeply human, Machine Learning, Human Cost asks a question that grows more urgent by the day: When our systems learn from us, what exactly are we teaching them? This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…