Examining Correlation Between Trust and Transparency with Explainable Artificial Intelligence

被引:4
作者
Kartikeya, Arnav [1 ]
机构
[1] Univ Calif Santa Cruz, 1156 High St, Santa Cruz, CA 95064 USA
来源
INTELLIGENT COMPUTING, VOL 2 | 2022年 / 507卷
关键词
Explainable artificial intelligence; XAI; Trust; Transparency; Artificial intelligence;
D O I
10.1007/978-3-031-10464-0_23
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Trust between humans and artificial intelligence (AI) is an issue which has implications in many fields of human computer interaction. The current issue with artificial intelligence is a lack of transparency into its decision making, and literature shows that increasing transparency increases trust. Explainable artificial intelligence has the ability to increase transparency of AI, which could potentially increase trust for humans. This paper attempts to use the task of predicting yelp review star ratings with assistance from an explainable and non explainable artificial intelligence to see if trust is increased with increased transparency. Results show that for these tasks, explainable artificial intelligence provided significant increase in trust as a measure of influence.
引用
收藏
页码:353 / 358
页数:6
相关论文
共 5 条
[1]   Trust in Automation: Integrating Empirical Evidence on Factors That Influence Trust [J].
Hoff, Kevin Anthony ;
Bashir, Masooda .
HUMAN FACTORS, 2015, 57 (03) :407-434
[2]  
Jian J.Y., 2000, INT J COGNITIVE ERGO, V4, P53, DOI [10.1207/S15327566IJCE0401_04, DOI 10.1207/S15327566IJCE040104, 10.1207/S15327566IJCE040104, DOI 10.1207/S15327566IJCE0401_04]
[3]  
Joulin A, 2016, Arxiv, DOI arXiv:1607.01759
[4]   "Why Should I Trust You?" Explaining the Predictions of Any Classifier [J].
Ribeiro, Marco Tulio ;
Singh, Sameer ;
Guestrin, Carlos .
KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2016, :1135-1144
[5]  
Weitz K., 2019, P 19 ACM INT C INTEL, P1