What Types of Human-AI Teams Exist?

2026-07-02 · Source: Artificial Intelligence · Field: Science & Research — Artificial Intelligence & Machine Learning, Social Sciences & Behavioral Studies, Research Methodology & Innovation · Depth: Expert, quick

Summary

A study analyzing 53 papers on human-AI teams categorizes them into five distinct clusters, revealing a lack of consistent understanding in the field. These clusters, identified using psychological taxonomies of teaming, include AI Assistant, Ad-hoc Dependency, Ad-hoc Forced Dependency, Paired Equanimity, and Group Equanimity. Each cluster exhibits unique holistic team-level characteristics, suggesting that multiple disparate team types are being investigated under a single, broad definition. This raises critical questions about the true transferability of research insights across different studies. The analysis concludes by offering guidance on how to identify specific human-AI team types, provides a checklist for reporting research, and suggests methods for better synthesizing future work in this domain.

Key takeaway

For research scientists studying human-AI teams, recognize that current literature often conflates distinct team types under a single definition. You should explicitly identify and report the specific human-AI team type in your work, using established psychological taxonomies or the study's proposed checklist. This precision ensures your findings are accurately contextualized and genuinely transferable, preventing misapplication of insights across fundamentally different human-AI configurations.

Key insights

The field of human-AI teaming lacks consistent definitions, hindering insight transferability across diverse team types.

Principles

• Human-AI teams vary significantly.
• Psychological taxonomies aid categorization.
• Consistent definitions improve research transfer.

Method

The study analyzed 53 papers, categorizing human-AI teams into five clusters (AI Assistant, Ad-hoc Dependency, Ad-hoc Forced Dependency, Paired Equanimity, Group Equanimity) based on psychological teaming taxonomies.

In practice

• Use the provided checklist for reporting.
• Identify specific human-AI team types.
• Synthesize research with clear definitions.

Topics

• Human-AI Teaming
• Team Taxonomies
• AI Assistants
• Research Synthesis
• Psychological Teaming
• Ad-hoc Dependency

Best for: AI Scientist, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence.