[1]陈小平.人工智能伦理体系:基础架构与关键问题[J].智能系统学报,2019,14(04):605-610.[doi:10.11992/tis.201906037]
 CHEN Xiaoping.Ethical system of artificial intelligence: infrastructure and key issues[J].CAAI Transactions on Intelligent Systems,2019,14(04):605-610.[doi:10.11992/tis.201906037]
点击复制

人工智能伦理体系:基础架构与关键问题(/HTML)
分享到:

《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第14卷
期数:
2019年04期
页码:
605-610
栏目:
出版日期:
2019-07-02

文章信息/Info

Title:
Ethical system of artificial intelligence: infrastructure and key issues
作者:
陈小平
中国科学技术大学 计算机学院, 安徽 合肥 230026
Author(s):
CHEN Xiaoping
University of Science and Technology of China, Computer School, Hefei 230026, China
关键词:
人工智能伦理体系伦理准则风险预测伦理性创新
Keywords:
artificial intelligenceethical systemethical guidelinesrisk predictionethical innovation
分类号:
N01;TP18
DOI:
10.11992/tis.201906037
摘要:
全球范围内针对人工智能伦理准则的讨论已达成基本共识。在此基础上,本文进一步研究4个关键问题:人工智能伦理体系的运行机制问题、人工智能伦理准则的场景落地问题、人工智能伦理风险的预测判别问题,以及人工智能伦理对重大社会问题综合创新的支撑机制问题。这些问题超越了人工智能伦理准则的范围,却是一种完整、有效的人工智能伦理体系所必须解答的。本文的主要贡献是对这4个问题提出一套建议方案。
Abstract:
On the basis of consensus on ethical guidelines or principles so far reached in the world, four key issues on ethical system of AI will be studied further in this paper:operating mechanisms of AI ethics system, the grounding of AI ethical guidelines in real-world scenarios, prediction and identification of ethical risks of AI technology, and comprehensive innovation mechanisms of handling major social problems supported by the AI ethics system. These issues go beyond the realm of AI ethical guidelines, while they must be solved in order to develop a complete and effective operating system of AI ethics. A preliminary plan for solving these issues is proposed as the main contribution of this paper.

参考文献/References:

[1] The High-Level Expert Group on AI. Ethics guidelines for trustworthy AI[EB/OL]. (2019-04-08). https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai.
[2] 傅莹. 人工智能对国际关系的影响初析[EB/OL]. (2019-04-10). https://pit.ifeng.com/c/7lkmTsTwMD2.
[3] 裴钢. 科技伦理建设应由全人类共同参与[EB/OL]. http://st.zjol.com.cn/kjjsb/201905/t20190508_10075117.shtml.
[4] LEI Ruipeng, ZHAI Xiaomei, ZHU Wei, et al. Reboot ethics governance in China[J]. Nature, 2019, 569:184-186.
[5] 陈磊. 人工智能让人类尴尬:伦理道德法律框架设计滞后[N]. 科技日报, 2017-11-21.
[6] 蓝江. 人工智能的伦理挑战[N]. 光明日报, 2019-04-01(15).
[7] 李艳. 人工智能该怎么管?八项原则来了!一文读懂[N]. 科技日报, 2019-06-18.
[8] 熊争艳, 董瑞丰. 加快推动人工智能伦理研究[N]. 新华每日电讯, 2019-03-11(06).
[9] 杨骏. 超越"机器人三定律" 人工智能期待新伦理[EB/OL]. (2019-03-18). http://www.xinhuanet.com/tech/2019-03/18/c_1124249611.htm.
[10] 袁勇. 人工智能伦理三问:如何对待机器和自身的关系?[EB/OL]. (2018-07-12). http://ip.people.com.cn/n1/2018/0712/c179663-30142763.html.l.
[11] The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (IEEE)[EB/OL]. https://standards.ieee.org/industry-connections/ec/autonomous-systems.html.
[12] 杨弃非. 每经专访太和智库欧洲中心主任托斯登·耶里尼克:跨国构建人工智能伦理治理框架势在必行[N]. 每日经济新闻, 2019-05-22.
[13] BOSTROM N, YUDKOWSKY E. The ethics of artificial intelligence[M]//FRANKISH K, RAMSEY W. Cambridge Handbook of Artificial Intelligence. New York:Cambridge University Press, 2014.
[14] SMITH R. 5 core principles to keep AI ethical[EB/OL]. (2018-04-19). https://https://www.weforum.org/agenda/2018/04/keep-calm-and-make-ai-ethical/.
[15] HAO Karen. Establishing an AI code of ethics will be harder than people think[R]. Cambridge:MIT Technology Review, 2018.
[16] 万俊人. 义利之间:现代经济伦理十一讲[M]. 北京:团结出版社, 2003.
[17] Wikipedia[EB/OL]. https://en.wikipedia.org/wiki/Ethics.
[18] 赵汀阳. 人工智能的自我意识何以可能?[J]. 自然辩证法通讯, 2019, 41(1):1-8 ZHAO Tingyang. How could AI develop its self-consciousness?[J]. Journal of dialectics of nature, 2019, 41(1):1-8
[19] 陈小平. 人工智能伦理全景动态观[EB/OL]. (2019-05-27). http://https://www.china-scratch.com/news/5403.
[20] 人民论坛理论研究中心. 全局性综合创新:国内外实践经验与未来启示[EB/OL]. (2017-10-17). http://www.rmlt.com.cn/2017/1017/500123.shtml。
[21] 陈小平. 人工智能的历史进步、目标定位和思维演化[J]. 开放时代, 2018(6):31-48.

相似文献/References:

[1]李德毅.网络时代人工智能研究与发展[J].智能系统学报,2009,4(01):1.
 LI De-yi.AI research and development in the network age[J].CAAI Transactions on Intelligent Systems,2009,4(04):1.
[2]赵克勤.二元联系数A+Bi的理论基础与基本算法及在人工智能中的应用[J].智能系统学报,2008,3(06):476.
 ZHAO Ke-qin.The theoretical basis and basic algorithm of binary connection A+Bi and its application in AI[J].CAAI Transactions on Intelligent Systems,2008,3(04):476.
[3]徐玉如,庞永杰,甘 永,等.智能水下机器人技术展望[J].智能系统学报,2006,1(01):9.
 XU Yu-ru,PANG Yong-jie,GAN Yong,et al.AUV—state-of-the-art and prospect[J].CAAI Transactions on Intelligent Systems,2006,1(04):9.
[4]王志良.人工心理与人工情感[J].智能系统学报,2006,1(01):38.
 WANG Zhi-liang.Artificial psychology and artificial emotion[J].CAAI Transactions on Intelligent Systems,2006,1(04):38.
[5]赵克勤.集对分析的不确定性系统理论在AI中的应用[J].智能系统学报,2006,1(02):16.
 ZHAO Ke-qin.The application of uncertainty systems theory of set pair analysis (SPU)in the artificial intelligence[J].CAAI Transactions on Intelligent Systems,2006,1(04):16.
[6]秦裕林,朱新民,朱 丹.Herbert Simon在最后几年里的两个研究方向[J].智能系统学报,2006,1(02):11.
 QIN Yu-lin,ZHU Xin-min,ZHU Dan.Herbert Simons two research directions in his lost years[J].CAAI Transactions on Intelligent Systems,2006,1(04):11.
[7]谷文祥,李 丽,李丹丹.规划识别的研究及其应用[J].智能系统学报,2007,2(01):1.
 GU Wen-xiang,LI Li,LI Dan-dan.Research and application of plan recognition[J].CAAI Transactions on Intelligent Systems,2007,2(04):1.
[8]杨春燕,蔡 文.可拓信息-知识-智能形式化体系研究[J].智能系统学报,2007,2(03):8.
 YANG Chun-yan,CAI Wen.A formalized system of extension information-knowledge-intelligence[J].CAAI Transactions on Intelligent Systems,2007,2(04):8.
[9]赵克勤.SPA的同异反系统理论在人工智能研究中的应用[J].智能系统学报,2007,2(05):20.
 ZHAO Ke-qin.The application of SPAbased identicaldiscrepancycontrary system theory in artificial intelligence research[J].CAAI Transactions on Intelligent Systems,2007,2(04):20.
[10]王志良,杨 溢,杨 扬,等.一种周期时变马尔可夫室内位置预测模型[J].智能系统学报,2009,4(06):521.[doi:10.3969/j.issn.1673-4785.2009.06.009]
 WANG Zhi-liang,YANG Yi,YANG Yang,et al.A periodic time-varying Markov model for indoor location prediction[J].CAAI Transactions on Intelligent Systems,2009,4(04):521.[doi:10.3969/j.issn.1673-4785.2009.06.009]

备注/Memo

备注/Memo:
收稿日期:2019-06-20。
作者简介:陈小平,1955年生,教授,中国人工智能学会人工智能伦理道德专委会(筹)主任,主要研究方向为人工智能理论基础和智能机器人关键技术。提出基于"开放知识"的机器人智能技术路线,并在"可佳"和"佳佳"智能机器人系统中进行了持续性研究和工程实现。团队自主研发的"可佳"机器人2015年获国际服务机器人精确测试第一名,2014年获国际服务机器人标准测试第一名,2013年获第23届世界人工智能联合大会最佳自主机器人奖和通用机器人技能奖。2005年以来团队在机器人世界杯上先后获得12项世界冠军。多次获得国际学术会议最佳论文奖。获2010年度中科大"杰出研究"校长奖。
通讯作者:陈小平.E-mail:xpchen@ustc.edu.cn
更新日期/Last Update: 2019-08-25