Guest Editorial: Special Issue on Responsible AI in Social Computing

Artificial intelligence (AI) continues demonstrating its positive impact on society and successful adoptions in data-rich domains including social computing systems. There are serious ethical and legal concerns about AI’s ability to make decisions in a responsible way. Many principles and guidelines for responsible AI (RAI) have been issued by governments, research organizations, and enterprises. For instance, the Institute for Ethical Machine Learning provides various RAI resources [1] , including higher level guidelines and frameworks, tools, standards, regulations, course, and so on. However, high-level principles are far from ensuring the trustworthiness of AI systems.