Responsible Artificial Intelligence and Bias Mitigation in Deep Learning Systems

被引：2
|
作者：
Gavrilova, Marina L. [1 ]
机构：
[1] Univ Calgary, Comp Sci Dept, Calgary, AB, Canada
来源：
2023 27TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION, IV | 2023年
基金：
加拿大自然科学与工程研究理事会;
关键词：
Artificial Intelligence; Deep Learning; responsible AI; ethics; algorithmic fairness; bias mitigation; visual knowledge discovery; biometrics; decision-making;
D O I：
10.1109/IV60283.2023.00062
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Responsible, ethical and trustworthy decision making powered by the new generation of artificial intelligence (AI) and deep learning (DL) recently emerged as one of the key societal challenges. The tutorial discusses key challenges, lists major applications, presents mitigation strategies and provides insights on the future developments in this emerging research domain.
引用
收藏
页码：329 / 333
页数：5
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