Title
Building Ethics into Artificial Intelligence.
Abstract
As artificial intelligence (AI) systems become increasingly ubiquitous, the topic of AI governance for ethical decision-making by AI has captured public imagination. Within the AI research community, this topic remains less familiar to many researchers. In this paper, we complement existing surveys, which largely focused on the psychological, social and legal discussions of the topic, with an analysis of recent advances in technical solutions for AI governance. By reviewing publications in leading AI conferences including AAAI, AAMAS, ECAI and IJCAI, we propose a taxonomy which divides the field into four areas: 1) exploring ethical dilemmas; 2) individual ethical decision frameworks; 3) collective ethical decision frameworks; and 4) ethics in human-AI interactions. We highlight the intuitions and key techniques used in each approach, and discuss promising future research directions towards successful integration of ethical AI systems into human societies.
Year
Venue
DocType
2018
IJCAI
Journal
Volume
ISSN
Citations 
abs/1812.02953
H. Yu, Z. Shen, C. Miao, C. Leung, V. R. Lesser & Q. Yang, "Building Ethics into Artificial Intelligence," in Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), pp. 5527-5533, 2018
4
PageRank 
References 
Authors
0.46
20
6
Name
Order
Citations
PageRank
Han Yu163948.71
Zhiqi Shen2114882.57
Chunyan Miao32307195.72
Cyril Leung489962.23
Victor R. Lesser556181928.77
Qiang Yang617039875.69