A Survey of Hybrid Human-Artificial Intelligence for Social Computing
  Along with the development of modern computing technology and social
sciences, both theoretical research and practical applications of social
computing have been continuously extended. In particular with the boom of
artificial intelligence (AI), social computing is significantly influenced by
AI. However, the conventional technologies of AI have drawbacks in dealing with
more complicated and dynamic problems. Such deficiency can be rectified by
hybrid human-artificial intelligence (H-AI) which integrates both human
intelligence and AI into one unity, forming a new enhanced intelligence. H-AI
in dealing with social problems shows the advantages that AI can not surpass.
This paper firstly introduces the concept of H-AI. AI is the intelligence in
the transition stage of H-AI, so the latest research progresses of AI in social
computing are reviewed. Secondly, it summarizes typical challenges faced by AI
in social computing, and makes it possible to introduce H-AI to solve these
challenges. Finally, the paper proposes a holistic framework of social
computing combining with H-AI, which consists of four layers: object layer,
base layer, analysis layer, and application layer. It represents H-AI has
significant advantages over AI in solving social problems.
