fairness

A Review of Trustworthy Graph Neural Networks and Causal Learning in Graphs

by
A Review of Trustworthy Graph Neural Networks and Causal Learning in Graphs

This article is approximately 9000 words long and is recommended for a reading time of over 10 minutes. This article analyzes the reliability risks of GNNs from a causal perspective and introduces six sets of techniques to gain deeper insights into potential causal mechanisms and achieve reliability. 1 Introduction This article reviews the latest advancements … Read more

Advancements in Fairness Research for Image Recognition

by
Advancements in Fairness Research for Image Recognition

This is the664th original article. Your attention is the greatest encouragement for us! Keywords: fairness, bias, debiasing learning, image recognition, deep learning Algorithmic fairness is one of the important themes in the benevolent development of artificial intelligence and a key component of trustworthy AI. Establishing reasonable models to ensure unbiased algorithmic decision-making is a necessary … Read more