When combinations of humans and AI are useful: A systematic review and meta-analysis

Inspired by the increasing use of artificial intelligence (AI) to augment humans, researchers have studied human-AI systems involving different tasks, systems and populations. Despite such a large body of work, we lack a broad conceptual understanding of when combinations of humans and AI are better than either alone. Here we addressed this question by conducting a preregistered systematic review and meta-analysis of 106 experimental studies reporting 370 effect sizes. We searched an interdisciplinary set of databases (the Association for Computing Machinery Digital Library, the Web of Science and the Association for Information Systems eLibrary) for studies published between 1 January 2020 and 30 June 2023.…

• A
  Accenture
• TR
  Toyota Research Institute
• NR
  National Research Foundation
• QF
  Quest for Intelligence, Massachusetts Institute of Technology