How to address the ethical and governance challenges posed by the new technological revolution of artificial intelligence? This is an issue that has not been covered by any previous study in any single discipline. What is unique about AI, compared to previous technologies, is its "autonomy". Contemporary AI technologies are already deeply "involved" in human decision-making, either because of the nature of the technological application itself, or the special role that the society assigns to it as it is applied. In this sense, AI is qualitatively different from the traditional technology. It is precisely because of this deep 'involvement' in human decision-making that AI has led to both short-term and long-term ethical problems. This book discusses these issues systematically, making an original contribution of intellectual resources and analytical frameworks to the question of how society should respond to the new technological revolution.
Rui Guo(Associate Professor of Law at Renmin University of China, researcher of RUC’s Institute of Law and Technology, and Director of Center for Social Responsibility and Governance). Dr. Rui Guo researches on corporate law, financial regulations, human rights, and the ethics of Artificial Intelligence. He graduated from China University of Political Science and Law(LL.B & LL.M) and Harvard Law School (LL.M & S.J.D). Dr. Rui Guo is a member of the Sub-Committee of Artificial Intelligence, National Standardization Committee of Information Technology, and is the Lead Expert for the Research Group on Ethics of Artificial Intelligence of the Artificial Intelligence Working Group, Standardization Administration of the People's Republic of China(SAC). He participated in the drafting of the first AI standardization white paper(published in 2018) and led the drafting of AI Ethical Risk Research Report (published in May 2019 by Artificial Intelligence Working Group, SAC).
Table of Content
Introduction
I. The "Anachronistic" AI Ethics
II. The Crisis of Ethical Knowledge
III. The Ultimate Dilemma of AI Ethics
IV. Shortcomings of the Ethical Algorithm
V. Ethical Risk Management in AI
VI. The Game We Can't Leave
Chapter 1. Where the Ethical Issues of Artificial Intelligence Come from
I. Technical Features and Ethical Issues of AI
II. Basic Principles of AI Ethics
III. Typical AI Ethical Issues
Chapter 2: Privacy in the Shadow of Big Data: a Case of Precision Marketing
I. Precision Marketing: the Business Value of Personal Data
II. The Doubt on Big Data
III. The Possibility of Privacy and the Dispersion of Hume’s Panopticon
IV. The Right to Privacy and the Moral Agency of the Human Person
Chapter 3 Attentiveness and Betrayal of Algorithm
I. Recommendation System: Bite Dance as an Example
II. Ethical Risks of Individualized Recommendation System III. Algorithms and the Diversity of Society
Chapter 4 The Myth of Risk Control: an Example from Fin-tech
I. The Dilemma of AI Financial Anti-Fraud
II. The Overconfident AI Risk Control
III. The Inability of Technology and the Ability of the Society
Chapter 5 The Dilemma of Machine Decision-making: an Example of Autonomous Driving
I. Overview of Autonomous Driving Technology
II. The Tram Problem
III. Accountability and the Dilemma of Machine Decision-making
Chapter 6: The Confusion of Human-machine Relation: the Case of Sex Robot
I. Sex Robot as a Control System
II. Justification of Control
III. The Master-slave Relationship
Chapter 7: The Siren Song in the Ear of Power: AI in Public Decision Making
I. Ethical issues of AI in Public Decision-making
II. Predictive Policing
III. Facial Recognition
IV. Moving Away from Path Dependency
Chapter 8 A Beautiful New World of Rights: AI in Court
I. Ethical issues of existing AI applications in court
II. Will Justice Be Replaced by Algorithm
III. The Ethical Risks of AI Applications in Court
IV. Leaving the Brave New World
Chapter 9 Risk Management and AI Ethics and Governance
I. Indicators of Ethical Risks of AI
II. Best Practices for Managing Ethical Risks of AI
III. The Ethics Committee: a Case Study
Conclusion
I. The Perception of Risks
II. Planning for Responses
III. The Role(s) of the Law