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The ethics of artificial intelligence : principles, challenges, and opportunities

By: Material type: TextTextPublication details: Oxford : Oxford University Press, ©2023Description: xxii, 243 p. : ill. ; 24 cmISBN:
  • 9780198883098
Subject(s): DDC classification:
  • 006.3 FLO-E
Contents:
Part One Understanding AI 1. Past: The Emergence of AI 2. Present: AI as a New Form of Agency, Not Intelligence 3. Future: The Foreseeable Development of AI Part Two Evaluating AI 4. A Unified Framework of Ethical Principles for AI 5. From Principles to Practices: The Risks of Being Unethical 6. Soft Ethics and the Governance of AI 7. Mapping the Ethics of Algorithms 8. Bad Practices: The Misuse of AI for Social Evil 9. Good Practices: The Proper Use of AI for Social Good 10. How to Deliver a Good AI Society: Some Recommendations 11. The Gambit: AI Impact on Climate Change 12. AI and the UN Sustainable Development Goals 13. Conclusion: The Green and the Blue
Summary: "The book has two goals. The first goal is meta-theoretical and is fulfilled by Part One, which comprises the first three chapters: an interpretation of the past (Chapter 1), the present (Chapter 2), and the future of AI (Chapter 3). Part One develops the thesis that AI is an unprecedented divorce between agency and intelligence. On this basis, Part Two investigates the consequences of such a divorce discussed, developing the thesis that AI as a new form of agency can be harnessed ethically and unethically. It beings (Chapter 4) by offering a unified perspective on the many principles that have been proposed to frame the ethics of AI. This leads to a discussion (Chapter 5) of the potential risks that may undermine the application of these principles, and then (Chapter 6) an analysis of the relation between ethical principles and legal norms, and a definition of soft ethics as post-compliance ethics. Part Two continues by analysing the ethical challenges caused by the development and use of AI (Chapter 7), evil uses of AI (Chapter 8), and good practices when applying AI (Chapter 9). The last group of chapters focuses on the design, development, and deployment of AI for Social Good or AI4SG (Chapter 10), the positive and negative impacts of AI on the environment and how it can be a force for good in the fight against climate change but not without risks and costs, which can and must be avoided or minimised (Chapter 11), and the possibility of using AI in support of the United Nations Sustainable Development Goals (Chapter 12).The book concludes (Chapter 13) by arguing in favour of a new marriage between the Green of all our habitats and the Blue of all our digital technologies and how this new marriage can support and develop a better society and a healthier biosphere"--
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Books Books IIITD General Stacks Computer Science and Engineering 006.3 FLO-E (Browse shelf(Opens below)) Available 013015
Total holds: 0

Includes bibliographical references and index.

Part One Understanding AI
1. Past: The Emergence of AI 2. Present: AI as a New Form of Agency, Not Intelligence 3. Future: The Foreseeable Development of AI Part Two Evaluating AI
4. A Unified Framework of Ethical Principles for AI 5. From Principles to Practices: The Risks of Being Unethical 6. Soft Ethics and the Governance of AI 7. Mapping the Ethics of Algorithms 8. Bad Practices: The Misuse of AI for Social Evil 9. Good Practices: The Proper Use of AI for Social Good 10. How to Deliver a Good AI Society: Some Recommendations 11. The Gambit: AI Impact on Climate Change 12. AI and the UN Sustainable Development Goals 13. Conclusion: The Green and the Blue

"The book has two goals. The first goal is meta-theoretical and is fulfilled by Part One, which comprises the first three chapters: an interpretation of the past (Chapter 1), the present (Chapter 2), and the future of AI (Chapter 3). Part One develops the thesis that AI is an unprecedented divorce between agency and intelligence. On this basis, Part Two investigates the consequences of such a divorce discussed, developing the thesis that AI as a new form of agency can be harnessed ethically and unethically. It beings (Chapter 4) by offering a unified perspective on the many principles that have been proposed to frame the ethics of AI. This leads to a discussion (Chapter 5) of the potential risks that may undermine the application of these principles, and then (Chapter 6) an analysis of the relation between ethical principles and legal norms, and a definition of soft ethics as post-compliance ethics. Part Two continues by analysing the ethical challenges caused by the development and use of AI (Chapter 7), evil uses of AI (Chapter 8), and good practices when applying AI (Chapter 9). The last group of chapters focuses on the design, development, and deployment of AI for Social Good or AI4SG (Chapter 10), the positive and negative impacts of AI on the environment and how it can be a force for good in the fight against climate change but not without risks and costs, which can and must be avoided or minimised (Chapter 11), and the possibility of using AI in support of the United Nations Sustainable Development Goals (Chapter 12).The book concludes (Chapter 13) by arguing in favour of a new marriage between the Green of all our habitats and the Blue of all our digital technologies and how this new marriage can support and develop a better society and a healthier biosphere"--

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