University Of Tasmania

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The role of knowledge graph on responsible AI realization: research opportunities, gaps and challenges

journal contribution
posted on 2023-05-21, 15:22 authored by Xiang LiXiang Li, Liu, Q, Quan BaiQuan Bai, Xu, X
As the development of AI algorithms the performance of AI systems has been largely improved. It, in turn, extends AI-empowered applications and makes AI play an increasingly important role in humans’ life. Thus, building Responsible AI which can be trusted by human has drawn much research attention in recent years. Linking various studies on Responsible AI through commonly accepted ethical values facilitates realizing it in the practice of designing, developing and deploying AI systems. Knowledge graph, as its advanced representation capability on facts and knowledge, can be used to represent and link heterogeneous information to support realizing Responsible AI. In this work, we reveal that knowledge graph brings opportunities for representing and processing unstructured information in legal documents, AI systems, and human interaction. Meanwhile, we intend to identify research gaps and challenges to smooth the future work.


Publication title







School of Information and Communication Technology


Institute of Electrical and Electronics Engineers

Place of publication

United States

Rights statement

© IEEE. Published by the IEEE Computer Society.

Repository Status

  • Restricted

Socio-economic Objectives

Artificial intelligence; Computer systems

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