The Ethics of Artificial Intelligence Principles, Challenges, and Opportunities

The Ethics of Artificial 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 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, developing the thesis that AI 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 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.

Luciano Floridi, Founding Director of the Yale Center for Digital Ethics, Professor of Cognitive Science, Yale University

Founding Director of the Yale Center for Digital Ethics, Professor of Cognitive Science at Yale, and Professor of Sociology of Culture and Communication at Bologna University. He is world-renowned as one of the most authoritative voices of contemporary philosophy, the founder of the philosophy of information, and one of the major interpreters of the digital revolution. His more than 300 publications about the philosophy of information, digital ethics, the ethics of AI, and the philosophy of technology have been translated into many languages. In 2022 he was made Knight of the Grand Cross OMRI for his foundational work in philosophy.

Preface
Acknowledgements
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
Bibliography