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Responsible AI

- Best Practices for Creating Trustworthy AI Systems
Af: Xiwei Xu, CSIRO, Liming Zhu, Qinghua Lu, Jon Whittle Engelsk Paperback

Responsible AI

- Best Practices for Creating Trustworthy AI Systems
Af: Xiwei Xu, CSIRO, Liming Zhu, Qinghua Lu, Jon Whittle Engelsk Paperback
Tjek vores konkurrenters priser
AI systems are solving real-world challenges and transforming industries, but there are serious concerns about how responsibly they operate on behalf of the humans that rely on them. Many ethical principles and guidelines have been proposed for AI systems, but they''re often too ''high-level'' to be translated into practice. Conversely, AI/ML researchers often focus on algorithmic solutions that are too ''low-level'' to adequately address ethics and responsibility. In this timely, practical guide, pioneering AI practitioners bridge these gaps. The authors illuminate issues of AI responsibility across the entire system lifecycle and all system components, offer concrete and actionable guidance for addressing them, and demonstrate these approaches in three detailed case studies.

Writing for technologists, decision-makers, students, users, and other stake-holders, the topics cover:

  • Governance mechanisms at industry, organisation, and team levels
  • Development process perspectives, including software engineering best practices for AI
  • System perspectives, including quality attributes, architecture styles, and patterns
  • Techniques for connecting code with data and models, including key tradeoffs
  • Principle-specific techniques for fairness, privacy, and explainability
  • A preview of the future of responsible AI
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Tjek vores konkurrenters priser
Normalpris
kr 297
Fragt: 39 kr
6 - 8 hverdage
20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser
AI systems are solving real-world challenges and transforming industries, but there are serious concerns about how responsibly they operate on behalf of the humans that rely on them. Many ethical principles and guidelines have been proposed for AI systems, but they''re often too ''high-level'' to be translated into practice. Conversely, AI/ML researchers often focus on algorithmic solutions that are too ''low-level'' to adequately address ethics and responsibility. In this timely, practical guide, pioneering AI practitioners bridge these gaps. The authors illuminate issues of AI responsibility across the entire system lifecycle and all system components, offer concrete and actionable guidance for addressing them, and demonstrate these approaches in three detailed case studies.

Writing for technologists, decision-makers, students, users, and other stake-holders, the topics cover:

  • Governance mechanisms at industry, organisation, and team levels
  • Development process perspectives, including software engineering best practices for AI
  • System perspectives, including quality attributes, architecture styles, and patterns
  • Techniques for connecting code with data and models, including key tradeoffs
  • Principle-specific techniques for fairness, privacy, and explainability
  • A preview of the future of responsible AI
Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 320
ISBN-13: 9780138073923
Indbinding: Paperback
Udgave:
ISBN-10: 0138073929
Kategori: Kunstig intelligens
Udg. Dato: 17 jan 2024
Længde: 19mm
Bredde: 232mm
Højde: 188mm
Forlag: Pearson Education (US)
Oplagsdato: 17 jan 2024
Forfatter(e): Xiwei Xu, CSIRO, Liming Zhu, Qinghua Lu, Jon Whittle
Forfatter(e) Xiwei Xu, CSIRO, Liming Zhu, Qinghua Lu, Jon Whittle

Kategori Kunstig intelligens

ISBN-13 9780138073923

Sprog Engelsk

Indbinding Paperback

Sider 320

Udgave

Længde 19mm

Bredde 232mm

Højde 188mm

Udg. Dato 17 jan 2024

Oplagsdato 17 jan 2024

Forlag Pearson Education (US)

Kategori sammenhænge