A Survey of Hybrid Human-Artificial Intelligence for Social Computing

TL;DR

This survey reviews the integration of human and artificial intelligence in social computing, highlighting the concept, challenges, and a new framework demonstrating H-AI's advantages over traditional AI.

Contribution

It introduces the concept of hybrid human-AI, reviews recent AI developments in social computing, and proposes a comprehensive framework for integrating H-AI into social problem-solving.

Findings

H-AI combines human and artificial intelligence for better social problem-solving.

H-AI addresses challenges faced by AI in social computing.

A four-layer framework for H-AI in social computing is proposed.

Abstract

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.