  There have been increasing concerns about Artificial Intelligence (AI) due to
its unfathomable potential power. To make AI address ethical challenges and
shun undesirable outcomes, researchers proposed to develop socially responsible
AI (SRAI). One of these approaches is causal learning (CL). We survey
state-of-the-art methods of CL for SRAI. We begin by examining the seven CL
tools to enhance the social responsibility of AI, then review how existing
works have succeeded using these tools to tackle issues in developing SRAI such
as fairness. The goal of this survey is to bring forefront the potentials and
promises of CL for SRAI.
