ISBN: 9789374591437 - ai for humanity: building machines that serve, not rule (5 risultati)

Condizione: New.

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

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.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - When a system is accurate on paper but quietly unfair in practice, trust evaporates. This book offers a grounded path to design ethical ai that protects dignity while delivering real utility.You will learn how to turn values into requirements, choose fit-for-purpose metrics, and build interfaces that people can contest and understand. Drawing on lived cases in health, hiring, and public services, it shows how human-centric ai aligns with ai policy and everyday operations. Expect practical tools for algorithmic accountability, data provenance, and documentation that actually guides decisions. The result is responsible machine learning that prefers small, careful releases over grand promises, with legible safeguards and explainable ai that changes decisions rather than decorating dashboards.For product leaders, designers, engineers, and policymakers who want ai transparency without paralysis, this is a humane, pragmatic toolkit. It champions inclusive design and human rights tech so your teams can ship useful systems that serve people first.…

Paperback. Condizione: new. Paperback. When a system is accurate on paper but quietly unfair in practice, trust evaporates. This book offers a grounded path to design ethical ai that protects dignity while delivering real utility. You will learn how to turn values into requirements, choose fit-for-purpose metrics, and build interfaces that people can contest and understand. Drawing on lived cases in health, hiring, and public services, it shows how human-centric ai aligns with ai policy and everyday operations. Expect practical tools for algorithmic accountability, data provenance, and documentation that actually guides decisions. The result is responsible machine learning that prefers small, careful releases over grand promises, with legible safeguards and explainable ai that changes decisions rather than decorating dashboards. For product leaders, designers, engineers, and policymakers who want ai transparency without paralysis, this is a humane, pragmatic toolkit. It champions inclusive design and human rights tech so your teams can ship useful systems that serve people first. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…