Artificial Intelligence in Dentistry: Ethics of AI

The Covid-19 pandemic and the resulting restrictions on mobility, contact bans, mobile phone surveillance apps, and other strategies for containment of infection chains have led to a clear increase in the use of digital applications in public and private healthcare in the past year. Improved data analysis in the research, development, and testing of new therapies, as well as the growing potential of artificial intelligence for rapidly developed diagnostic methods and vaccine candidates, has also resulted in increased demand and application of digital aids among doctors, patients, hospitals, researchers, and companies. However, the use of these technical innovations has been accompanied by socio-economic and political discussions as well as lively ethical and legal debates. Issues such as data protection, cyber security, consent, transparency, discrimination, ownership, and a fair distribution and access to digital opportunities play an important role here. This chapter discusses central ethical and legal issues using concrete examples and provides an in-depth discussion of selected issues that not only illustrate ethical and legal problem areas and risks, but also show possible solutions.

This book deeply analyzes the theoretical roots of the development of global artificial intelligence ethics and AI governance, the ethical issues in AI application scenarios, and the discussion of artificial intelligence governance issues from a global perspective. From the perspective of knowledge, the book includes not only the metaphysical research of traditional Western ethics, but also the interpretation of AI-related practical cases and international policies. The purpose of this book is not only to study AI ethics and governance issues academically, but to seek a path to solve problems in the real world. It is a very meaningful monograph in both academic theory and reality. This book responds to the implementation of China's digital economy governance and other topics. It is a cutting-edge academic monograph that combines industry, policy, and thought. In this book, the author not only discusses the humanities thoughts such as ethics, political economy, philosophy, and sociology, but also involves computer science, biology, and medicine and other science and engineering disciplines, effectively using interdisciplinary thinking as readers clarify how to explore ethical consensus and establish smart social governance rules in the era of artificial intelligence, so as to provide the most comprehensive and unique scientific and technological insights for smart economy participants, related practitioners in the artificial intelligence industry, and government policy makers. For academia, this is a representative book of Chinese scholars' systematic thinking on AI ethical propositions from a global perspective. For the industry, this is a book that understands the policies and ethical propositions faced by the development of AI industry. An important reference book, for policy makers, this is a monograph for understanding how policies in the AI industry make decisions that conform to AI industry practices and people's moral order.

For years, technologists and computer scientists have promised an AI revolution that would transform the very basis of how we imagine and administer modern medicine. AI-driven advancements in medical error rates, diagnostic accuracy, or disease outbreak detection could potentially save thousands of lives. But health AI also carries the potential for exacerbating deep systemic biases if left unchecked.The Doctor and the Algorithm combines insights from science and technology studies, critical algorithm studies, and public interest informatics to better understand the promise and peril of health AI. The book draws on case studies in automated diagnostics, algorithmic pain measurement, AI-driven drug discovery, and death prediction to investigate how health AI is made, promoted, and justified. It explores the enthusiastic promises of health AI marketing communication and medical futurism while also analyzing the inequitable outcomes new AI technology often creates for already marginalized communities. Finally, the book closes with specific recommendations for regulatory frameworks that might support more ethical and equitable approaches to health AI in the future.Interweaving textual analysis and original informatics, The Doctor and the Algorithm offers a sobering analysis of the promise of medical AI against the real and unintended consequences that deep medicine can bring for patients, providers, and public health alike.

The use of artificial intelligence (AI) is deeply embedded in all aspects of our daily lives, promoting efficiency and safety in routine tasks at home and work. Likewise, dentistry is rapidly exploring new uses of AI for image analysis, electronic health records, and clinical decision-making. The accelerating advancement of AI and its application in dentistry demands dental education conscientiously integrate AI into curricula and equip graduates to use it ethically and responsibly in practice. The approach must be threefold: instill knowledge of the basic algorithms and appropriate application of AI, discuss its limitations/biases, and examine current and potential ethical challenges in practice. Furthermore, dental education must protect the public from intentional and unintentional harm introduced by AI. Therefore, the purpose of this perspective paper is to discuss various considerations for integrating AI into the dental curriculum, prioritizing patient safety by ensuring knowledgeable, safe, and ethical application by future providers.