The ethics of artificial intelligence principles, challenges, and opportunities
"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 divo...
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| 520 | 3 | |a "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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Datensatz im Suchindex
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| adam_text | Contents Preface Acknowledgements List ofFigures List of Tables List ofMost Common Abbreviations and Acronyms xi xix xxiii xxv xxvii PART ONE UNDERSTANDING AI 1. Past: The Emergence of AI 1 .0 Summary 1.1 Introduction: The Digital Revolution and AI 1.2 Digital’s Cleaving Power: Cutting and Pasting Modernity 1.3 New Forms of Agency 1.4 AI: A Research Area in Search of a Definition 1.5 Conclusion: Ethics, Governance, and Design З З З 6 10 12 12 2. Present: AI as a New Form of Agency, Not Intelligence 2.0 Summary 2.1 Introduction: What Is AI? ‘I Know It When I See It’ 2.2 AI as a Counterfactual 2.3 The Two Souls of AI: The Engineering and the Cognitive 2.4 AI: A Successful Divorce Made in the Infosphere 2.5 The Human Use of Humans as Interfaces 2.6 Conclusion: Who Will Adapt to Whom? 14 14 14 16 20 24 27 29 3. Future: The Foreseeable Development of AI 3.0 Summary 3.1 Introduction: Looking into the Seeds of Time 3.2 Historical, Hybrid, and Synthetic Data 3.3 Constraining and Constitutive Rules 3.4 Difficult Problems, Complex Problems, and the Need for Enveloping 3.5 Generative Models 3.6 A Future of Design 3.7 Conclusion: AI and Its Seasons 31 31 31 32 37 39 43 49 50 PART TWO EVALUATING AI 4. A Unified Framework of Ethical Principles for AI 4.0 Summary 57 57
viii CONTENTS 4.1 4.2 4.3 4.4 4.5 4.6 4.7 4.8 4.9 4.10 Introduction: Too Many Principles? A Unified Framework of Five Principles for Ethical AI Beneficence: Promoting Well-Being, Preserving Dignity, and Sustaining the Planet Nonmaleficence: Privacy, Security, and ‘Capability Caution’ Autonomy: The Power to ‘Decide to Decide’ Justice: Promoting Prosperity, Preserving Solidarity, Avoiding Unfairness Explicability: Enabling the Other Principles through Intelligibility and Accountability A Synoptic View AI Ethics: Whence and for Whom? Conclusion: From Principles to Practices 58 5į 611 61 Μ 6^ б| 61 63 5. From Principles to Practices: The Risks of Being Unethical 5.0 Summary 5.1 Introduction: Risky Translations 5.2 Ethics Shopping 5.3 Ethics Bluewashing 5.4 Ethics Lobbying 5.5 Ethics Dumping 5.6 Ethics Shirking 5,7 Conclusion: The Importance of Knowing Better б7 67 67 68 70 71 72 74 76 6. Soft Ethics and the Governance of AI 6.0 Summary 6.1 Introduction: From Digital Innovation to the Governance of the Digital 6.2 Ethics, Regulation, and Governance 6.3 Compliance: Necessary but Insufficient 6.4 Hard and Soft Ethics 6.5 Soft Ethics as an Ethical Framework 6.6 Ethical Impart Analysis 6.7 Digital Preferability and the Normative Cascade 6.8 Digital Ethics’Dual Advantage 6.9 Conclusion: Ethics as a Strategy 77 77 7. Mapping the Ethics of Algorithms 7.0 Summary 7.1 Introduction: A Working Definition of Algorithm 7.2 Map of the Ethics of Algorithms 7.3 Inconclusive Evidence Leading to Unjustified Actions 7.4 Inscrutable Evidence Leading to Opacity 7.5 Misguided Evidence Leading to
Unwanted Bias 7.6 Unfair Outcomes Leading to Discrimination 77 79 81 82 84 87 88 89 90 92 92 92 94 96 97 101 103
ІХ CONTENTS 7.7 Transformative Effects Leading to Challenges for Autonomy and Informational Privacy 7.8 Traceability Leading to Moral Responsibility 7.9 Conclusion: The Good and Evil Use of Algorithms 8. Bad Practices: The Misuse of AI for Social Evil 8,0 Summary 8.1 Introduction: The Criminal Use of AI 8.2 Concerns 8.2.1 Emergence 8.2.2 Liability 8.2.3 Monitoring 8.2.4 Psychology 8.3 Threats 8.3.1 Commerce, Financial Markets, and Insolvency 8.3.2 Harmful or Dangerous Drugs 8.3.3 Offences against the Person 8.3.4 Sexual Offences 8.3.5 Theft and Fraud, Forgery, and Personation 8.4 Possible Solutions 8.4.1 Tackling Emergence 8.4.2 Addressing Liability 8.4.3 Checking the Monitoring 8.4.4 Dealing with the Psychology 8.5 Future Developments 8.5.1 Areas of AIC 8.5.2 Dual-Use 8.5.3 Security 8.5.4 Persons 8.5.5 Organizations 8.6 Conclusion: From Evil Uses of AI to Socially Good AI 9. Good Practices: The Proper Use of AI for Social Good 9.0 Summary 9.1 Introduction: The Idea of AI for Social Good 9.2 A Definition of AI4SG 9.3 Seven Essential Factors for Successful AI4SG 9.3.1 Falsifiability and Incremental Deployment 9.3.2 Safeguards against the Manipulation of Predictors 9.3.3 Receiver-Contextualized Intervention 9.3.4 Receiver-Contextualized Explanation and Transparent Purposes 9.3.5 Privacy Protection and Data Subject Consent 9.3.6 Situational Fairness 9.3.7 Human-Friendly Semanticization 9.4 Conclusion: Balancing Factors for AI4SG 106 109 111 113 113 113 115 117 117 119 120 121 121 123 124 127 129 131 131 133 135 137 138 138 138 139 139 140 140 142 142 142 146 148 149 151 153
155 159 161 163 164
X CONTENTS 10. How to Deliver a Good AI Society: Some Recommendations 10.0 Summary 10.1 Introduction: Four Ways of Delivering a Good AI Society 10.2 Who We Can Become: Enabling Human Self-Realization without Devaluing Human Abilities 170 10.3 What We Can Do: Enhancing Human Agency without Removing Human Responsibility 171 10.4 What We Can Achieve: Increasing Societal Capabilities without Reducing Human Control 172 10.5 How We Can Interact: Cultivating Societal Cohesion without Eroding Human Self-Determination 172 10.6 Twenty Recommendations for a Good AI Society 10.7 Conclusion: The Need for Concrete and Constructive Policies 168 168 168 11. The Gambit: AI Impact on Climate Change 11.0 Summary 11.1 Introduction: Al’s Double-Edged Power 11.2 Al and the EU’s ‘Twin Transitions’ 11.3 AI and Climate Change: Ethical Challenges 11.4 AI and Climate Change: Digital Carbon Footprint 11.5 Thirteen Recommendations in Favour of AI against Climate Change 11.5.1 Promoting Ethical AI in the Fight against Climate Change 11.5.2 Gauging and Auditing the Carbon Footprint of AI: Researchers and Developers 11.5.3 Gauging and Controlling the Carbon Footprint of AI: Policymakers 191 11.6 Conclusion: A More Sustainable Society and a Healthier Biosphere 180 180 180 183 184 186 12. AI and the UN Sustainable Development Goals 12.0 Summary 12.1 Introduction: AI4SG and the UN SDGs 12.2 Assessing Evidence of AI x SDGs 12.3 AI to Advance ‘Climate Action’ 12.4 Conclusion: A Research Agenda for AI x SDGs 193 193 193 194 198 199 13. Conclusion: The Green and the Blue 13.0 Summary 13.1 Introduction: From the
Divorce of Agency and Intelligence to the Marriage of Green and Blue 13.2 The Role of Philosophy as Conceptual Design 13.3 Back to‘the Seeds of Time’ 13.4 Green Collars Needed 13.5 Conclusion: Humanity as a Beautiful Glitch 201 201 References Index 209 239 173 179 189 189 190 192 201 203 204 206 207
The Ethics ofArtificial Intelligence 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 Al (Chapter 3). Part One develops the thesis that Al is an unprecedented divorce between agency and intelligence. On this basis, Part Two investigates the consequences of such a divorce, developing the thesis that Al as a new form of agency can be harnessed ethically and unethically. It begins (Chapter 4) by offering a unified perspective on the many principles that have been proposed to frame the ethics of Al. 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 Al (Chapter?), evil uses of Al (Chapter 8), and good practices when applying Al (Chapter 9). The last group of chapters focuses on the design, development, and deployment of Al for Social Good or AI4SG (Chapter 10); the positive and negative impacts of Al on the environment and how it can be a force for good in the fight against climate change-but not without risksand costs, which can and must be avoided or minimized (Chapter 11); and the possibility of using Al 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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| discipline | Allgemeines Philosophie |
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| indexdate | 2024-12-24T09:56:38Z |
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| isbn | 9780198883098 |
| language | English |
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| spellingShingle | Floridi, Luciano 1964- The ethics of artificial intelligence principles, challenges, and opportunities Vereinte Nationen Generalversammlung Resolution 70/1 (2015) (DE-588)1079150706 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Ethik (DE-588)4015602-3 gnd |
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| title | The ethics of artificial intelligence principles, challenges, and opportunities |
| title_auth | The ethics of artificial intelligence principles, challenges, and opportunities |
| title_exact_search | The ethics of artificial intelligence principles, challenges, and opportunities |
| title_full | The ethics of artificial intelligence principles, challenges, and opportunities Luciano Floridi |
| title_fullStr | The ethics of artificial intelligence principles, challenges, and opportunities Luciano Floridi |
| title_full_unstemmed | The ethics of artificial intelligence principles, challenges, and opportunities Luciano Floridi |
| title_short | The ethics of artificial intelligence |
| title_sort | the ethics of artificial intelligence principles challenges and opportunities |
| title_sub | principles, challenges, and opportunities |
| topic | Vereinte Nationen Generalversammlung Resolution 70/1 (2015) (DE-588)1079150706 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Ethik (DE-588)4015602-3 gnd |
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