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从信息社会迈向智能社会
引用本文:陈光宇, 杨欣昱, 梁娜, 税发萍, 吴杰, 何甫. 以人为本的人工智能工程伦理准则探析[J]. 电子科技大学学报社科版, 2020, 22(6): 32-38. DOI: 10.14071/j.1008-8105(2020)-4011
作者姓名:陈光宇  杨欣昱  梁娜  税发萍  吴杰  何甫
作者单位:1.电子科技大学 成都 611731
摘    要:目的/意义在快速发展的人工智能给人们带来便利的同时,“去人类中心化”风险的担忧也随之而来。设计/方法首先,从技术、利益、责任、环境四个维度开展研究,分析人工智能工程面临的道德风险,若对其不加预防和控制,将有悖于人工智能发展的初衷,即增加人类安全、健康和福祉;其次,通过分类对比分析阿西洛马人工智能原则与欧盟可信赖人工智能伦理准则,阐释工程伦理的三大基本原则对人工智能技术发展和伦理研究的重要性,揭示伦理准则发展和完善的科学路径。结论/发现最后,给出“以人为本”的人工智能可持续发展的建议,这些建议对于人工智能工程生命周期中的利益相关者具有重要的指导价值。

关 键 词:人工智能  工程伦理  道德风险  以人为本
收稿时间:2020-08-11

Human-level Concept Learning Through Probabilistic Program Induction
CHEN Guang-yu, YANG Xin-yu, LIANG Na, SHUI Fa-ping, WU Jie, HE Fu. Analysis of People-oriented Engineering Ethics Principles for Artificial Intelligence[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2020, 22(6): 32-38. DOI: 10.14071/j.1008-8105(2020)-4011
Authors:CHEN Guang-yu  YANG Xin-yu  LIANG Na  SHUI Fa-ping  WU Jie  HE Fu
Affiliation:1.University of Electronic Science and Technology of China Chengdu 611731 China
Abstract:[Purpose/Significance] Along with the convenience brought by the rapid development of artificial intelligence generates widely concerns on the de-humanization hazard. [Design/Methodology] First of all, moral hazard in AI engineering is analyzed from four perspectives, namely, the technology, interest, responsibility, and environment. If the hazard is not prevented and controlled, it may run contrary to the buildup of human safety, health, and well-being, which are the original purpose of AI development. Secondly, through the classification and comparative analysis of the Asilomar AI Principles and the EU’ Ethics Guidelines for Trustworthy AI, this paper elaborates the importance of three basic principles of engineering ethics to the development of AI technology and ethical research, thereby revealing the scientific path for the development and improvement of ethics principles. [Findings/Conclusions] Finally, this paper puts forward some suggestions on the people-oriented sustainable development of artificial intelligence, which are of important referential value for stakeholders in AI engineering lifecycle.
Keywords:artificial intelligence  engineering ethics  moral hazard  people-oriented
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