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Leading Across the Spectrum of Human-AI Relationships: A Conceptual Framework for Increasingly Heterogeneous Teams

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Published in:ArXiv cs.HC Recent Papers
Format: Online Article RSS Article
Published: 2026
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publishDateSort 2026
record_format rss_article
spellingShingle Leading Across the Spectrum of Human-AI Relationships: A Conceptual Framework for Increasingly Heterogeneous Teams
ArXiv cs.HC Recent Papers
Mechanical Engineering
Engineering & Technology
sub_discipline_display Mechanical Engineering
sub_discipline_facet Mechanical Engineering
subject_display ArXiv cs.HC Recent Papers
Mechanical Engineering
Engineering & Technology
ArXiv cs.HC Recent Papers
Mechanical Engineering
Engineering & Technology
subject_facet ArXiv cs.HC Recent Papers
Mechanical Engineering
Engineering & Technology
title Leading Across the Spectrum of Human-AI Relationships: A Conceptual Framework for Increasingly Heterogeneous Teams
title_auth Leading Across the Spectrum of Human-AI Relationships: A Conceptual Framework for Increasingly Heterogeneous Teams
title_full Leading Across the Spectrum of Human-AI Relationships: A Conceptual Framework for Increasingly Heterogeneous Teams
title_fullStr Leading Across the Spectrum of Human-AI Relationships: A Conceptual Framework for Increasingly Heterogeneous Teams
title_full_unstemmed Leading Across the Spectrum of Human-AI Relationships: A Conceptual Framework for Increasingly Heterogeneous Teams
title_short Leading Across the Spectrum of Human-AI Relationships: A Conceptual Framework for Increasingly Heterogeneous Teams
title_sort leading across the spectrum of human-ai relationships: a conceptual framework for increasingly heterogeneous teams
topic ArXiv cs.HC Recent Papers
Mechanical Engineering
Engineering & Technology
url https://arxiv.org/abs/2604.27392v1