红外, 2020, 41 (7): 25, 网络出版: 2020-11-03  

人工智能可控性探究

Research on Controllability of Artificial Intelligence
作者单位
中电科仪器仪表有限公司,山东 青岛 266000
摘要
由当前人工智能的某些不可控案例出发,联想到人工智能的脆弱性与不确定性,试探性地提出了提高人工智能可控性的方法。主要分为五个部分:第一部分首先简述人工智能的提出与发展;第二部分介绍聊天机器人以及其他人工智能产品的具体不可控案例;第三部分主要探讨人工智能技术脆弱性和不确定性的来源;第四部分提出提高人工智能可控性的几点建议,包括增强人工智能的场景感知能力、在系统架构中部署可控节点以及通过可控节点健全监管评估体系;第五部分描述人工智能技术在光电等领域的展望。
Abstract
Starting from some uncontrollable cases of current artificial intelligence (AI), the fragility and uncertainty of artificial intelligence are associated, and the methods of improving the controllability of artificial intelligence are tentatively proposed. The article is mainly divided into five parts. The first part briefly describes the proposal and development of AI. The second part introduces the specific uncontrollable cases of chat robots and other AI products. The third part mainly discusses the sources of AI technology fragility and uncertainty. The fourth part puts forward some suggestions for improving the controllability of AI, including enhancing the scenario awareness ability of AI, deploying controllable nodes in the system architecture and improving the supervision and evaluation system through the controllable nodes. The fifth part describes the prospects of AI technology in the field of optoelectronics.

张明柱, 薛沛祥, 于淼, 陈庆磊. 人工智能可控性探究[J]. 红外, 2020, 41(7): 25. ZHANG Ming-zhu, XUE Pei-xiang, YU Miao, CHEN Qing-lei. Research on Controllability of Artificial Intelligence[J]. INFRARED, 2020, 41(7): 25.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!