“There is No ‘AI’ in ‘TEAM’! Or is there?” – Towards meaningful human-AI collaboration

AI is increasingly embedded in collaborative processes, challenging traditional notions of teamwork. While AI lacks consciousness and human-like intentionality, its ability to shape decision-making, structure interactions, and contribute to shared outcomes necessitates a reassessment of what it means to be a team member. This paper critically examines AI’s role in human-AI collaboration, arguing that effective teamwork is not solely defined by mutual understanding but by the complementary contributions of human and AI actors. We highlight the importance of context in shaping collaboration and propose a research agenda structured around five key aspects: (1) rethinking team membership, (2) evolving team roles, (3) the influence of contextual factors, (4) adaptive collaboration practices, and (5) ethical considerations. We call on scholars and practitioners to explore these dimensions to ensure that human-AI teams align with organizational goals and societal values

Authors

Publication Details

Journal
AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems
Published
2025-02-26
DOI
https://doi.org/10.3127/ajis.v29.5753
Citations
5
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
11.83
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

“There is No ‘AI’ in ‘TEAM’! Or is there?” – Towards meaningful human-AI collaboration

Gerhard Schwabe, Alexander Richter
5 citations
AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems
Ethics and Social Impacts of AI
11.83
article

“There is No ‘AI’ in ‘TEAM’! Or is there?” – Towards meaningful human-AI collaboration

Gerhard Schwabe, Alexander Richter
article en
5 citations

Abstract

AI is increasingly embedded in collaborative processes, challenging traditional notions of teamwork. While AI lacks consciousness and human-like intentionality, its ability to shape decision-making, structure interactions, and contribute to shared outcomes necessitates a reassessment of what it means to be a team member. This paper critically examines AI’s role in human-AI collaboration, arguing that effective teamwork is not solely defined by mutual understanding but by the complementary contributions of human and AI actors. We highlight the importance of context in shaping collaboration and propose a research agenda structured around five key aspects: (1) rethinking team membership, (2) evolving team roles, (3) the influence of contextual factors, (4) adaptive collaboration practices, and (5) ethical considerations. We call on scholars and practitioners to explore these dimensions to ensure that human-AI teams align with organizational goals and societal values

AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systemsVol. 29
Peace, Justice and strong institutions
Openalex Percentile: Top 2%
Ethics and Social Impacts of AI
11.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.