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1. |
Record Nr. |
UNISA996534462803316 |
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Titolo |
Mathematics Going Forward [[electronic resource] ] : Collected Mathematical Brushstrokes / / edited by Jean-Michel Morel, Bernard Teissier |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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9783031122446 |
9783031122439 |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (629 pages) |
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Collana |
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Lecture Notes in Mathematics, , 1617-9692 ; ; 2313 |
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Disciplina |
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Soggetti |
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Mathematics |
Algebraic geometry |
Probabilities |
History |
Algebraic topology |
Differential equations |
General Mathematics and Education |
Algebraic Geometry |
Probability Theory |
History of Mathematical Sciences |
Algebraic Topology |
Differential Equations |
Matemàtica |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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1. Algebraic Geometry -- 2. Dynamical Systems -- 3. Finance -- 4. Geometry -- 5. Groups -- 6. History of Mathematics -- 7. Information Theory -- 8. Logic -- 9. Mathematical Models -- 10. Mathematical Physics and PDEs -- 11. Number Theory -- 12. Probability Theory. |
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Sommario/riassunto |
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This volume is an original collection of articles by 44 leading mathematicians on the theme of the future of the discipline. The |
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contributions range from musings on the future of specific fields, to analyses of the history of the discipline, to discussions of open problems and conjectures, including first solutions of unresolved problems. Interestingly, the topics do not cover all of mathematics, but only those deemed most worthy to reflect on for future generations. These topics encompass the most active parts of pure and applied mathematics, including algebraic geometry, probability, logic, optimization, finance, topology, partial differential equations, category theory, number theory, differential geometry, dynamical systems, artificial intelligence, theory of groups, mathematical physics and statistics. |
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2. |
Record Nr. |
UNINA9910686771603321 |
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Autore |
Boddington Paula |
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Titolo |
AI Ethics : A Textbook / / by Paula Boddington |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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9789811993824 |
9789811993817 |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (531 pages) |
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Collana |
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Artificial Intelligence: Foundations, Theory, and Algorithms, , 2365-306X |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Ethics |
Technology - Moral and ethical aspects |
Normativity (Ethics) |
Artificial Intelligence |
Moral Philosophy and Applied Ethics |
Ethics of Technology |
Normative Ethics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Chapter 1. Introduction: Why AI Ethics? -- Chapter 2. The Rise of AI Ethics -- Chapter 3. AI, Philosophy of Technology, and Ethics -- |
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Chapter 4. Methods in Applied Ethics -- Chapter 5. Humans and Intelligent Machines: Underlying Values -- Chapter 6. Normative Ethical Theory and the Challenges from AI Ethics -- Chapter 7. Philosophy for AI Ethics: Metaethics, Metaphysics, and More -- Chapter 8. Persons and AI -- Chapter 9. Individuals, Society, and AI: Online Communication -- Chapter 10. Towards the Future with AI: Work and Superintelligence -- Chapter 11. Our Future with AI: Future Projections and Moral Machines. |
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Sommario/riassunto |
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This book introduces readers to critical ethical concerns in the development and use of artificial intelligence. Offering clear and accessible information on central concepts and debates in AI ethics, it explores how related problems are now forcing us to address fundamental, age-old questions about human life, value, and meaning. In addition, the book shows how foundational and theoretical issues relate to concrete controversies, with an emphasis on understanding how ethical questions play out in practice. All topics are explored in depth, with clear explanations of relevant debates in ethics and philosophy, drawing on both historical and current sources. Questions in AI ethics are explored in the context of related issues in technology, regulation, society, religion, and culture, to help readers gain a nuanced understanding of the scope of AI ethics within broader debates and concerns. Written with both students and educators in mind, the book is easy to use, with keyterms clearly explained, and numerous exercises designed to stretch and challenge. It offers readers essential insights into the evolving field of AI ethics. Moreover, it presents a range of methods and strategies that can be used to analyse and understand ethical questions, which are illustrated throughout with case studies. |
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