Trustworthy AI in the Age of Pervasive Computing and Big Data

被引:50
作者
Kumar, Abhishek [1 ]
Braud, Tristan [2 ]
Tarkoma, Sasu [1 ]
Hui, Pan [1 ,2 ]
机构
[1] Univ Helsinki, Dept Comp Sci, Helsinki, Finland
[2] Hong Kong Univ Sci & Technol, Dept Comp Sci & Engn, Hong Kong, Peoples R China
来源
2020 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS) | 2020年
基金
芬兰科学院;
关键词
Artificial Intelligence; Pervasive Computing; Ethics; Data Fusion; Transparency; Privacy; Fairness; Accountability; Federated Learning; BLOCKCHAIN;
D O I
10.1109/percomworkshops48775.2020.9156127
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The era of pervasive computing has resulted in countless devices that continuously monitor users and their environment, generating an abundance of user behavioural data. Such data may support improving the quality of service, but may also lead to adverse usages such as surveillance and advertisement. In parallel, Artificial Intelligence (AI) systems are being applied to sensitive fields such as healthcare, justice, or human resources, raising multiple concerns on the trustworthiness of such systems. Trust in AI systems is thus intrinsically linked to ethics, including the ethics of algorithms, the ethics of data, or the ethics of practice. In this paper, we formalise the requirements of trustworthy AI systems through an ethics perspective. We specifically focus on the aspects that can be integrated into the design and development of AI systems. After discussing the state of research and the remaining challenges, we show how a concrete use-case in smart cities can benefit from these methods.
引用
收藏
页数:6
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