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  • Philosophy of Artificial Intelligence: Optimistic and Pessimistic Views
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      • Publisher's listprice EUR 139.09
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        57 687 Ft (54 940 Ft + 5% VAT)
      • Discount 20% (cc. 11 537 Ft off)
      • Discounted price 46 150 Ft (43 952 Ft + 5% VAT)

    57 687 Ft

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    Product details:

    • Publisher Springer Nature Switzerland
    • Date of Publication 1 November 2025
    • Number of Volumes 1 pieces, Book

    • ISBN 9783031996535
    • Binding Hardback
    • No. of pages251 pages
    • Size 235x155 mm
    • Language English
    • Illustrations XII, 251 p. 9 illus., 4 illus. in color. Illustrations, black & white
    • 700

    Categories

    Long description:

    This book discusses, from various angles, the new trends in Artificial intelligence (AI), given the current so-called golden period that this field is undergoing. Recent progress in machine learning applications, such as image recognition and natural language processing, have raised the level of optimism that one day an AI can exhibit genuine intelligence. In games like Go and chess, human players have been surpassed by computers. As during earlier periods of AI optimism, there is increasing talk about domain-general artificial intelligence being possible. But just how intelligent are current AI systems, and what can we expect in the future? What will a world with an increasingly important role for AI systems be like? Which shifts with regard to the concept of intelligence as well as the societal order do these developments have? Authors with different views on the present and future of AI research and the role of AI in society discuss these questions, illustrating the diversity of discussions on AI and the many ways our lives are influenced by it.

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    Table of Contents:

    "

    .- Conceptual Disconnect: the prospect of concept-based AI explanations.- Understanding the relationship between fairness and explainability for algorithmic decision-making.- Inductive assumptions in ML always required, often ignored.- Beyond Control: Will to Power in AI, etc.

    "

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