AI Ethics

Recently, fictional news images generated by artificial intelligence have spread widely on social media, raising concerns about the flood of false information and misinformation. More than a thousand people in the technology industry have called for a suspension of training of powerful artificial intelligence systems, including those. On March 31, UNESCO called on countries to immediately implement its Recommendation on the Ethics of Artificial Intelligence.

AI ethics and governance are issues that are as important as AI technology and engineering but not much discussion. With the continuous emergence of big models in recent years, AI applications and products have been implemented one after another. As a result, people

Recently, the

【Guangming Youth Forum】 Editor

At present, large-language model artificial intelligence technologies and products (hereinafter referred to as

Zhu Yanling is deputy director, assistant researcher and postdoctoral fellow at the Communication Center of the Institute of Public Policy, South China University of Technology.Collecting scholars’ views from different disciplines and regional backgrounds, this book constructs a unified conceptual, theoretical and methodological framework, that is, through critical analysis of the composition, impact and potential inequality of artificial intelligence to explore What artificial intelligence means to everyone.This book starts with a critical discussion of human-computer dualism and explores its historical origins and current dilemmas. In Chapter 2, Andreas Kaplan () briefly introduces the history and definition of artificial intelligence. He believes that artificial intelligence is characterized by its ability to interpret external data and use it for learning to achieve complex goals and tasks. In Chapter 3, Wolfgang Hoffkishnell further discusses the relationship between humans and machines by examining the sometimes confused areas of digital humanism. He proposed a dialectical model to construct human-computer relationships by affirming () and combining ().Jenna Ng focuses on the philosophical nature of creativity, elaborating on another understanding of creative AI and the significance of AI

Zhu Yanling is deputy director, assistant researcher and postdoctoral fellow at the Communication Center of the Institute of Public Policy, South China University of Technology.Collecting scholars’ views from different disciplines and regional backgrounds, this book constructs a unified conceptual, theoretical and methodological framework, that is, through critical analysis of the composition, impact and potential inequality of artificial intelligence to explore the significance of artificial intelligence to everyone.This book starts with a critical discussion of human-computer dualism and explores its historical origins and current dilemmas. In Chapter 2, Andreas Kaplan () briefly introduces the history and definition of artificial intelligence. He believes that artificial intelligence is characterized by its ability to interpret external data and use it for learning to achieve complex goals and tasks. In Chapter 3, Wolfgang Hoffkishnell further discusses the relationship between humans and machines by examining the sometimes confused areas of digital humanism. He proposed a dialectical model to construct human-computer relationships by affirming () and combining ().Jenna Ng focuses on the philosophical nature of creativity, elaborating on another understanding of creative AI and the significance of AI

In February this year,

With the widespread use of artificial intelligence products in human life, the legal liability issues caused by artificial intelligence technology have gradually become prominent. Yu Ting explained the responsibilities that two types of subjects, including engineers and manufacturers, need to bear for the

The author provides many lists and descriptions of the principles of artificial intelligence ethics and classifies them into eight topic trends. Privacy, responsibility, security and assurance, transparency and interpretability, fairness and non-discrimination, human control over technology, professional responsibility and promotion of human value. . I think there is a special principle in these lists, which is to take care of the non-human world. As Boddington said in her book

The author provides many lists and descriptions of the ethical principles of artificial intelligence and classifies them into eight topic trends. Privacy, responsibility, security and assurance, transparency and interpretability, fairness and non-discrimination, human control over technology, professional responsibility and promotion of human value. . I think there is a special principle in these lists, which is to take care of the non-human world. As Boddington said in her book Ethical Code of Moving toward Artificial Intelligence :