Human-AI co-creation: why, what, and how?

Runtao Ren; Jian Ma; Jianxi Luo

doi:10.1017/pds.2026.10608

Human-AI co-creation: why, what, and how?

Runtao Ren^*
, Jian Ma
, Jianxi Luo

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

The rapid diffusion of generative AI is pushing creative work toward human–AI co-creation (HAIC). This paper designs a conceptual HAIC model that specifies several indispensable elements of effective co-creation: Human, AI, Artifact, Instruction, and Interaction. We demonstrated through a case study of a large-scale management information system development project how the HAIC model helps organizations implement HAIC. The proposed framework offers both an analytical lens for researchers and prescriptive guidance for practitioners seeking to engineer reliable human–AI collaboration.
© The Author(s), 2026

Original language	English
Title of host publication	Proceedings of the Design Society
Subtitle of host publication	DESIGN 2026
Publisher	Cambridge University Press
Pages	2503-2510
Volume	6
DOIs	https://doi.org/10.1017/pds.2026.10608
Publication status	Online published - 2 Jul 2026
Event	19th International Design Conference (DESIGN 2026) - Hotel Croatia Cavtat, Croatia Duration: 18 May 2026 → 21 May 2026

Publication series

Name	Proceedings of the Design Society
ISSN (Electronic)	2732-527X

Conference

Conference	19th International Design Conference (DESIGN 2026)
Abbreviated title	DESIGN 2026
Place	Croatia
Period	18/05/26 → 21/05/26

Research Keywords

artificial intelligence (AI)
generative design
collaborative design
design theory

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10.1017/pds.2026.10608

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title = "Human-AI co-creation: why, what, and how?",

abstract = "The rapid diffusion of generative AI is pushing creative work toward human–AI co-creation (HAIC). This paper designs a conceptual HAIC model that specifies several indispensable elements of effective co-creation: Human, AI, Artifact, Instruction, and Interaction. We demonstrated through a case study of a large-scale management information system development project how the HAIC model helps organizations implement HAIC. The proposed framework offers both an analytical lens for researchers and prescriptive guidance for practitioners seeking to engineer reliable human–AI collaboration. {\textcopyright} The Author(s), 2026",

keywords = "artificial intelligence (AI), generative design, collaborative design, design theory",

author = "Runtao Ren and Jian Ma and Jianxi Luo",

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language = "English",

volume = "6",

series = "Proceedings of the Design Society",

publisher = "Cambridge University Press",

pages = "2503--2510",

booktitle = "Proceedings of the Design Society",

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note = "19th International Design Conference (DESIGN 2026), DESIGN 2026 ; Conference date: 18-05-2026 Through 21-05-2026",

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Human-AI co-creation: why, what, and how? / Ren, Runtao ; Ma, Jian ; Luo, Jianxi.
Proceedings of the Design Society: DESIGN 2026. Vol. 6 Cambridge University Press, 2026. p. 2503-2510 (Proceedings of the Design Society).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Human-AI co-creation

T2 - 19th International Design Conference (DESIGN 2026)

AU - Ren, Runtao

AU - Ma, Jian

AU - Luo, Jianxi

PY - 2026/7/2

Y1 - 2026/7/2

N2 - The rapid diffusion of generative AI is pushing creative work toward human–AI co-creation (HAIC). This paper designs a conceptual HAIC model that specifies several indispensable elements of effective co-creation: Human, AI, Artifact, Instruction, and Interaction. We demonstrated through a case study of a large-scale management information system development project how the HAIC model helps organizations implement HAIC. The proposed framework offers both an analytical lens for researchers and prescriptive guidance for practitioners seeking to engineer reliable human–AI collaboration. © The Author(s), 2026

AB - The rapid diffusion of generative AI is pushing creative work toward human–AI co-creation (HAIC). This paper designs a conceptual HAIC model that specifies several indispensable elements of effective co-creation: Human, AI, Artifact, Instruction, and Interaction. We demonstrated through a case study of a large-scale management information system development project how the HAIC model helps organizations implement HAIC. The proposed framework offers both an analytical lens for researchers and prescriptive guidance for practitioners seeking to engineer reliable human–AI collaboration. © The Author(s), 2026

KW - artificial intelligence (AI)

KW - generative design

KW - collaborative design

KW - design theory

U2 - 10.1017/pds.2026.10608

DO - 10.1017/pds.2026.10608

M3 - RGC 32 - Refereed conference paper (with host publication)

VL - 6

T3 - Proceedings of the Design Society

SP - 2503

EP - 2510

BT - Proceedings of the Design Society

PB - Cambridge University Press

Y2 - 18 May 2026 through 21 May 2026

ER -

Human-AI co-creation: why, what, and how?

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