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Artificial Intelligence and the Value Alignment Problem
Artificial Intelligence and the Value Alignment Problem
Knygos.lt klubas Knygos.lt nariams
48,43 €
-30%
Įprastai
69,19 €
  • Išsiųsime per 10–14 d.d.
Written for an interdisciplinary audience, this book provides strikingly clear explanations of the many difficult technical and moral concepts central to discussions of ethics and AI. In particular, it serves as an introduction to the value alignment problem: that of ensuring that AI systems are aligned with the values of humanity. LaCroix redefines the problem as a structural one, showing students how many topics in AI ethics, from bias and fairness to transparency and opacity, can be understo…
  • Leidėjas:
  • Metai: 2025
  • Puslapiai: 354
  • ISBN-10: 1554816297
  • ISBN-13: 9781554816293
  • Formatas: 15.1 x 22.7 x 1.8 cm, minkšti viršeliai
  • Kalba: Anglų

Artificial Intelligence and the Value Alignment Problem (el. knyga) (skaityta knyga) | knygos.lt

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Written for an interdisciplinary audience, this book provides strikingly clear explanations of the many difficult technical and moral concepts central to discussions of ethics and AI. In particular, it serves as an introduction to the value alignment problem: that of ensuring that AI systems are aligned with the values of humanity. LaCroix redefines the problem as a structural one, showing students how many topics in AI ethics, from bias and fairness to transparency and opacity, can be understood as instances of the key problem of value alignment. Numerous case studies are presented throughout the book to highlight the significance of the issues at stake and to clarify the central role of the value alignment problem in the many ethical challenges facing the development and implementation of AI.

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  • Autorius: Travis LaCroix
  • Leidėjas:
  • Metai: 2025
  • Puslapiai: 354
  • ISBN-10: 1554816297
  • ISBN-13: 9781554816293
  • Formatas: 15.1 x 22.7 x 1.8 cm, minkšti viršeliai
  • Kalba: Anglų

Written for an interdisciplinary audience, this book provides strikingly clear explanations of the many difficult technical and moral concepts central to discussions of ethics and AI. In particular, it serves as an introduction to the value alignment problem: that of ensuring that AI systems are aligned with the values of humanity. LaCroix redefines the problem as a structural one, showing students how many topics in AI ethics, from bias and fairness to transparency and opacity, can be understood as instances of the key problem of value alignment. Numerous case studies are presented throughout the book to highlight the significance of the issues at stake and to clarify the central role of the value alignment problem in the many ethical challenges facing the development and implementation of AI.

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