张兆翔,张吉豫,谭铁牛.人工智能伦理问题的现状分析与对策[J].中国科学院院刊,2021,36(11):1270-1277.
人工智能伦理问题的现状分析与对策
Analysis and Strategy of AI Ethical Problems
人工智能伦理问题的现状分析与对策
Analysis and Strategy of AI Ethical Problems
作者
张兆翔1
中国科学院自动化研究所 北京 100190
ZHANG Zhaoxiang1
Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
张吉豫2
中国人民大学 法学院 北京 100872
ZHANG Jiyu2
Law School, Renmin University of China, Beijing 100872, China
谭铁牛1*
中国科学院自动化研究所 北京 100190
TAN Tieniu1*
Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
中国科学院自动化研究所 北京 100190
ZHANG Zhaoxiang1
Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
张吉豫2
中国人民大学 法学院 北京 100872
ZHANG Jiyu2
Law School, Renmin University of China, Beijing 100872, China
谭铁牛1*
中国科学院自动化研究所 北京 100190
TAN Tieniu1*
Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
中文关键词
人工智能;伦理;治理;应对策略
英文关键词
artificial intelligence (AI);ethics;governance;solution strategies
中文摘要
人工智能（AI）是第四次产业革命的核心，但也为伦理道德规范和社会治理带来了挑战。文章在阐释当前人工智能伦理风险的基础上，分析了当前对人工智能伦理准则、治理原则和治理进路的一些共识，提出了以“共建共治共享”为指导理论，逐渐建设形成包含教育改革、伦理规范、技术支撑、法律规制、国际合作在内的多维度伦理治理体系等对策建议。
英文摘要
Artificial intelligence (AI) is the core of the fourth industrial revolution, and it has brought challenges to ethics and social governance. On the basis of explaining the current ethical risks of artificial intelligence, the study furtherly analyzes the current consensus on ethics, governance principles, and governance approaches of artificial intelligence. Moreover, the study also proposes to take "co-construction, co-governance and sharing" as the guiding theory to gradually build a multi-dimensional ethical governance system, including education reform, ethical norms, technical supports, legal regulations, and international cooperation.
DOI10.16418/j.issn.1000-3045.20210604002
作者简介
张兆翔 中国科学院自动化研究所研究员。研究方向为生物认知启发的视觉感知与理解、类人学习、类脑智能等。
E-mail:zhaoxiang.zhang@ia.ac.cn
ZHANG Zhaoxiang Professor of the Institute of Automation, Chinese Academy of Sciences (CAS). He specifically focuses on biologically-inspired visual computing, human-like learning, brain-inspired intelligence and their applications on human analysis and scene understanding.
E-mail:zhaoxiang.zhang@ia.ac.cn
谭铁牛 中国科学院院士,英国皇家工程院外籍院士,发展中国家科学院院士和巴西科学院通讯院士。中国科学院自动化研究所智能感知与计算研究中心主任、研究员。研究方向为生物特征识别、图像视频理解和信息内容安全。
E-mail:tnt@nlpr.ia.ac.cn
TAN Tieniu Academician of Chinese Academy of Sciences (CAS), Fellow of the World Academy of Sciences for the advancement of science in developing countries (TWAS), Corresponding Member of Brazil Academy of Sciences, International Fellow of the UK Royal Academy of Engineering, and Professor of Institute of Automation, CAS. He is currently the Director of Center for Research on Intelligent Perception and Computing of Institute of Automation, CAS. His current research interests include biometrics, image and video understanding, and information content security.
E-mail:tnt@nlpr.ia.ac.cn
E-mail:zhaoxiang.zhang@ia.ac.cn
ZHANG Zhaoxiang Professor of the Institute of Automation, Chinese Academy of Sciences (CAS). He specifically focuses on biologically-inspired visual computing, human-like learning, brain-inspired intelligence and their applications on human analysis and scene understanding.
E-mail:zhaoxiang.zhang@ia.ac.cn
谭铁牛 中国科学院院士,英国皇家工程院外籍院士,发展中国家科学院院士和巴西科学院通讯院士。中国科学院自动化研究所智能感知与计算研究中心主任、研究员。研究方向为生物特征识别、图像视频理解和信息内容安全。
E-mail:tnt@nlpr.ia.ac.cn
TAN Tieniu Academician of Chinese Academy of Sciences (CAS), Fellow of the World Academy of Sciences for the advancement of science in developing countries (TWAS), Corresponding Member of Brazil Academy of Sciences, International Fellow of the UK Royal Academy of Engineering, and Professor of Institute of Automation, CAS. He is currently the Director of Center for Research on Intelligent Perception and Computing of Institute of Automation, CAS. His current research interests include biometrics, image and video understanding, and information content security.
E-mail:tnt@nlpr.ia.ac.cn
