A systematic review on the competences of human-AI collaboration

Abstract

Research on AI literacy has been conducted in the context of the essential skills needed for humans in a future society coexisting with AI. From a post-humanism perspective, existing AI literacy has been insufficient in presenting human competences for communication and collaboration with AI. The purpose of this study is to systematically derive the areas and competences essential for human-AI collaboration through a literature review. The related documents were collected from online academic databases, and a total of 32 papers were selected based on inclusion-exclusion criteria and quality assessment of the studies. Upon reviewing the selected literature, four main areas of human-AI collaboration competences were identified: 1) Understanding and utilizing AI, 2) Communication with AI, 3) Collaborative task regulation, and 4) AI ethics and socio-cultural values. This study offers theoretical implications for the development of AI curriculums, educational methods, and assessments to enhance human-AI collaboration competences.