Machine Learning, Human Cost: Two Tales of AI, Medicine, and Morality, (Paperback)

<b>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.</b> <p>In <i>Weighted for Bias</i>, 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. </p><p>In <b><i>T</i></b><i>he Capture Protocol</i>, 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. </p><p>Together, these stories probe the fragile intersection of artificial intelligence<b>, </b>ethics, <b> </b>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. </p><p><b>Timely, unsettling, and deeply human, <i>Machine Learning, Human Cost</i> asks a question that grows more urgent by the day: When our systems learn from us, what exactly are we teaching them?</b></p>

• Machine Learning, Human Cost: Two Tales of AI, Medicine, and Morality, (Paperback)
• Author: Arthur Lazarus
• ISBN: 9798274742658
• Format: Paperback
• Publication Date: 2026-06-16
• Page Count: 244