AI-assisted leading sustainability criteria development: a multiple case study

ABSTRACT: This study examines how AI can support the development of Leading Sustainability Criteria in sustainable product development, comparing AI-generated outputs with human-facilitated workshop results from four Swedish companies. Results highlight AI’s ability to accelerate and broaden sustainability framing, but emphasize that contextual relevance and legitimacy depend on participatory inputs. The findings suggest that AI is most effective when integrated into hybrid workflows that preserve human insight and stakeholder engagement—offering practical guidance for future implementation.

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Publication Details

Journal
Proceedings of the Design Society
Published
2026-07-02
DOI
https://doi.org/10.1017/pds.2026.10525
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-assisted leading sustainability criteria development: a multiple case study

Jesko Schulte, Matilda S. Watz, Jennifer Woofter
Proceedings of the Design Society
Ethics and Social Impacts of AI
article

AI-assisted leading sustainability criteria development: a multiple case study

Jesko Schulte, Matilda S. Watz, Jennifer Woofter
article en

Abstract

ABSTRACT: This study examines how AI can support the development of Leading Sustainability Criteria in sustainable product development, comparing AI-generated outputs with human-facilitated workshop results from four Swedish companies. Results highlight AI’s ability to accelerate and broaden sustainability framing, but emphasize that contextual relevance and legitimacy depend on participatory inputs. The findings suggest that AI is most effective when integrated into hybrid workflows that preserve human insight and stakeholder engagement—offering practical guidance for future implementation.

Proceedings of the Design SocietyVol. 6
Blekinge Institute of Technology (SE)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Ethics and Social Impacts of AI
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