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Full Description
This annual edited volume explores a wide range of topics in digital ethics and governance. Included are chapters that: analyze the opportunities and ethical challenges posed by digital innovation; delineate new approaches to solve them; and offer concrete guidance on how to govern emerging technologies. The contributors are all members of the Digital Ethics Lab (the DELab) at the Oxford Internet Institute, a research environment that draws on a wide range of academic traditions.
Collectively, the chapters of this book illustrate how the field of digital ethics - whether understood as an academic discipline or an area of practice - is undergoing a process of maturation. Most importantly, the focus of the discourse concerning how to design and use digital technologies is increasingly shifting from 'soft ethics' to 'hard governance'. Then, there is the trend in the ongoing shift from 'what' to 'how', whereby abstract or ad-hoc approaches to AI governance are giving way to moreconcrete and systematic solutions. The maturation of the field of digital ethics has, as this book attempts to show, been both accelerated and illustrated by a series of recent events. This text thereby takes an important step towards defining and implementing feasible and effective approaches to digital governance. It appeals to students, researchers and professionals in the field.
Contents
Chapter. 1. The European legislation on AI: a brief analysis of its philosophical approach.- Chapter. 2. Informational privacy with Chinese characteristics.- Chapter. 3. Lessons Learned from Co-Governance Approaches - Developing Effective AI Policy in Europe.- Chapter. 4. State-firm coordination in AI governance.- Chapter. 5. The Impact of Australia's News Media Bargaining Code on Journalism, Democracy, and the Battle to Regulate Big Tech.- Chapter. 6. App store governance: the implications and limitations of duopolistic dominance.- Chapter. 7. A legal principles-based framework for AI liability regulation.- Chapter. 8.- The New Morality of Debt.- Chapter. 9. Site of the Living Dead: Clarifying our Moral Obligations Towards Digital Remains.- Chapter. 10. The Statistics of Interpretable Machine Learning.- Chapter. 11. Formalising trade-offs beyond algorithmic fairness: lessons from ethical philosophy and welfare economics.- Chapter. 12. Ethics Auditing Framework for Trustworthy AI: Lessons from the IT Audit Literature.- Chapter. 13. Ethics auditing: lessons from business ethics for ethics auditing of AI.- Chapter. 14. AI ethics and policies: why European journalism needs more of both.- Chapter. 15. Towards Equitable Health Outcomes Using Group Data Rights.- Chapter. 16. Ethical Principles for Artificial Intelligence in National Defence.
