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AI Assurance Towards Trustworthy, Explainable, Safe, and Ethical AI

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Beschreibung

AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI provides readers with solutions and a foundational understanding of the methods that can be applied to test AI systems and provide assurance. Anyone developing software systems with intelligence, building learning algorithms, or deploying...

Beschreibung

AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI provides readers with solutions and a foundational understanding of the methods that can be applied to test AI systems and provide assurance. Anyone developing software systems with intelligence, building learning algorithms, or deploying AI to a domain-specific problem (such as allocating cyber breaches, analyzing causation at a smart farm, reducing readmissions at a hospital, ensuring soldiers' safety in the battlefield, or predicting exports of one country to another) will benefit from the methods presented in this book.

As AI assurance is now a major piece in AI and engineering research, this book will serve as a guide for researchers, scientists and students in their studies and experimentation. Moreover, as AI is being increasingly discussed and utilized at government and policymaking venues, the assurance of AI systems-as presented in this book-is at the nexus of such debates.

Rezension

"The book s structure allows readers to appreciate the interconnectedness of the various aspects of AI assurance. The editors have thoughtfully curated content that demonstrates the intricate relationship between technical, ethical, and practical considerations. The chapters build upon one another, providing a comprehensive understanding of AI assurance while simultaneously allowing readers to explore specific topics in greater depth. One of the book s most striking features is its commitment to providing practical, real-world examples to illustrate the concepts discussed in each chapter.... a captivating scholarly book that offers a thought-provoking and comprehensive examination of AI assurance. We highly recommend this book to scholars, policymakers, industry practitioners, and anyone seeking to navigate the complex labyrinth of AI assurance. [It] has the potential to shape the future of AI development and implementation, ultimately ensuring a more ethical, safe, and beneficial integration of AI into our society." - Jialei Wang (Shining3D Tech Co.) and Li Fu (Hangzhou Dianzi University), AI & Society, November 2023

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

28.10.2022
Herausgeber Feras A. Batarseh + weitere
Verlag Elsevier Science & Technology

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

28.10.2022
Herausgeber
Verlag Elsevier Science & Technology
Seitenzahl

602
Maße (L/B/H)

23,5/19,1/3,1 cm
Gewicht

1021 g
Sprache

Englisch
ISBN

978-0-323-91919-7

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  • Produktbild: AI Assurance
  • Produktbild: AI Assurance

  • 1. An introduction to AI assurance
    2. Setting the goals for ethical, unbiased and fair AI
    3. An overview of explainable and interpretable AI
    4. Bias, Fairness, and assurance in AI: Overview and Synthesis
    5. An evaluation of the potential global impacts of AI assurance
    6. The role of inference in AI: start S.M.A.L.L. with mindful models
    7. Outlier detection using AI: a survey
    8. AI assurance using casual inference: application to public policy
    9. Data collection, wrangling and preprocessing for AI assurance
    10. Coordination-aware assurance for end-to-end machine learning systems: the R3E approach
    11. Assuring AI methods for economic policymaking
    12. Panopticon implications of ethical AI: equity, disparity, and inequality in healthcare
    13. Recent advances in uncertainty quantification methods for engineering problems
    14. Socially responsible AI assurance in precision agriculture for farmers and policymakers
    15. The application of AI assurance in precision farming and agricultural economics
    16. Bringing dark data to light with AI for evidence-based policy making