248cc永利集团系列讲座
题 目：人工智能伦理与社会责任系列讲座和小型国际研讨会
Title: Series Lectures on Artificial Intelligence Ethics and Social Responsibility
讲座与会议语言： 英文
内容简介：人工智能正引领新一轮科技革命和产业变革，其伦理与社会责任是重要保障。为建立健全保障人工智能健康发展的法律法规、制度体系、伦理道德，支持中国人工智能产业发展联盟在人工智能伦理与社会责任的研究与教学方面工作的深入开展，作为联盟年度工作计划的一部分，联盟科普与社会责任工作组邀请到Dr. Michael Edward Anderson和Dr. Susan Leigh Anderson就人工智能伦理与社会责任问题，进行3次系列讲座，并与国内学者一起举行1次小型研讨会。
具体安排如下：
主讲人简介：
Michael Edward Anderson, a professor of computer science at the University of Hartford, West Hartford, Connecticut. He earned his Ph.D. in computer science and engineering at the University of Connecticut. His interest in further enabling machine autonomy brought him first to diagrammatic reasoning where he co-chaired Diagrams 2000, the first conference on the topic, held at the University of Edinburgh, co-edited the book “Diagrammatic Representation and Reasoning”, and published an article on the topic in Artificial Intelligence, the premier journal on the topic.
Susan Leigh Anderson, professor emeritus of philosophy at the University of Connecticut. She earned her Ph.D. at the University of California, Los Angeles. Her research areas are Applied Ethics, particularly Biomedical Ethics, Machine Ethics and so on. She has published many academic articles and works in the past time, such as On Kierkegaard, On Mill, On Dostoevsky and so on.
The interest in AI ethics has currently led Michael Edward Anderson in conjunction with Susan Leigh Anderson, to establish machine ethics as a bona fide field of study. They co-chaired the AAAI Fall 2005 Symposium on Machine Ethics, co-edited an IEEE Intelligent Systems special issue on machine ethics, and co-authored an invited article on the topic for Artificial Intelligence Magazine. Their research in machine ethics was selected for Innovative Applications of Artificial Intelligence as an emerging application in 2006. The October 2010 issue of Scientific American features an invited article on their research in which the first robot whose behavior is guided by an ethical principle is debuted. They have recently published “Machine Ethics”, a book on the topic for Cambridge University Press.
蒋洁，教授，南京信息工程大学中意网络侵权研究所所长，中国人工智能产业发展联盟政策法规组副组长，腾讯学术专家。意大利信息法学博士后，欧盟重大项目特邀参与及主题报告人，全球知识产权论坛指导教授，欧亚多国著名高校访问学者或特聘教授。近年来发表云计算、大数据、区块链、人工智能伦理和法律领域学术论文与呈交研究报告百余篇。主持完成纵向项目50余项、横向项目近20项；受邀担任国内外很多重要会议的演讲嘉宾和一系列立法闭门研讨会和工作组专家。
电子邮箱：001446@nuist.edu.cn或nuistjj@163.com；电话：18951893222.
Jie Jiang, a professor at the School of Law and Politics, Nanjing University of Information Science & Technology.
王志坚，浙江大学研究员（高校教师系列，正教授级）。在浙江大学实验社会科学实验室，从事博弈动力学、人工智能算法与实验经济学方面的科学研究和本科教学工作。同时具有理论经济学和理论物理学二个方向的博士生导师资格。他的主要学术贡献是在实验中发现混合纳什均衡中的动力学结构，相关系列成果已发表在《自然-通讯》等国际著名期刊，为国内外数百家媒体包括专业机构的推荐报道或转载，已成为国内外多科学领域本科教学参考内容，并入选《麻省理工科技评论》2014年度最佳成果之一。作为社会服务，担任中国人工智能产业发展联盟中科普与社会责任工作组组长，支持联盟开展人工智能伦理和社会责任的工业标准相关方面的工作。
Zhijian Wang, a researcher at Zhejiang University (college teacher, full professor). Wang engaged in scientific research and undergraduate teaching in the field of game dynamics、artificial intelligence algorithms and experimental economics at the Experimental Social Science Laboratory. He is a qualified doctoral supervisor of both theoretical economics and theoretical physics at the same time. His main academic contribution is to find the dynamic structure in the mixed Nash equilibrium in experiments. Relevant series of achievements have been published in famous international journals like 《Nature-Communication》 and have been reported or reprinted by hundreds of media at home and abroad. In addition, the research findings have become the reference content of undergraduate teaching in many domestic and foreign scientific fields, and have been selected as one of the best achievements of 《MIT Technology Review》 in 2014. Wang also undertakes social services work, he serves as the group leader of science popularization and social responsibility working group in AIIA (Artificial Intelligence Industry Alliance), in support of the work to formulate industrial standards for artificial intelligence ethics and social responsibility.
欢迎全校师生踊跃参加。
主办单位：
北京邮电大学大数据管理与智能决策研究中心
248cc永利集团
中国人工智能产业发展联盟
2018年11月16日
