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From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V

文献类型：期刊论文

作者Li, Xuan5; Ye, Peijun1; Li, Juanjuan1; Liu, Zhongmin2; Cao, Longbing3; Wang, Fei-Yue4
刊名IEEE INTELLIGENT SYSTEMS
出版日期2022-07-01
卷号37期号:4页码:18-26
ISSN号1541-1672
DOI10.1109/MIS.2022.3197950
通讯作者Li, Xuan(lix05@pcl.ac.cn)
英文摘要Artificial intelligence (AI)'s rapid development has produced a variety of state-of-the-art models and methods that rely on network architectures and features engineering. However, some AI approaches achieve high accurate results only at the expense of interpretability and reliability. These problems may easily lead to bad experiences, lower trust levels, and systematic or even catastrophic risks. This article introduces the theoretical framework of scenarios engineering for building trustworthy AI techniques. We propose six key dimensions, including intelligence and index, calibration and certification, and verification and validation to achieve more robust and trusting AI, and address issues for future research directions and applications along this direction.
WOS关键词INTELLIGENCE ; ECOLOGY ; MODEL
资助项目Science and Technology Development Fund, Macau SAR[0050/2020/A1] ; International Partnership Program of The Chinese Academy of Sciences[GJHZ202112] ; National Natural Science Foundation of China[62103411] ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology[YESS20210289] ; China Postdoctoral Science Foundation[2020TQ1057] ; China Postdoctoral Science Foundation[2020M682823]
WOS研究方向Computer Science ; Engineering
语种英语
出版者IEEE COMPUTER SOC
WOS记录号WOS:000858007500003
资助机构Science and Technology Development Fund, Macau SAR ; International Partnership Program of The Chinese Academy of Sciences ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology ; China Postdoctoral Science Foundation
源URL[http://ir.ia.ac.cn/handle/173211/50388]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Li, Xuan
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.North Automat Control Technol Inst, Taiyuan 030006, Peoples R China
3.Univ Technol Sydney, Sydney, NSW 2007, Australia
4.Chinese Acad Sci, Beijing 100190, Peoples R China
5.Peng Cheng Lab, Shenzhen 518000, Peoples R China
推荐引用方式
GB/T 7714		 Li, Xuan,Ye, Peijun,Li, Juanjuan,et al. From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V[J]. IEEE INTELLIGENT SYSTEMS,2022,37(4):18-26.
APA Li, Xuan,Ye, Peijun,Li, Juanjuan,Liu, Zhongmin,Cao, Longbing,&Wang, Fei-Yue.(2022).From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V.IEEE INTELLIGENT SYSTEMS,37(4),18-26.
MLA Li, Xuan,et al."From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V".IEEE INTELLIGENT SYSTEMS 37.4(2022):18-26.

入库方式： OAI收割

来源：自动化研究所

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