Design Principles for Human-Centred Explainable AI: A Scoping Review

The field of Human-Centred Explainable AI (HCXAI) has been rapidly expanding. In turn, there has been an increase in the number of papers suggesting design principles for HCXAI. However, it is unclear the extent to which design requirements overlap between papers, and in turn what the field overall considers to be HCXAI design requirements. To overcome this, this study analysed the state of the field via a scoping review of papers suggesting HCXAI design requirements, and a Content Analysis of the extracted principles. A total of 330 design principles were identified from 35 papers, which were subsequently categorised into 43 codes and grouped into 4 main areas of focus. Based on these findings, we propose a definition of HCXAI which identifies HCXAI as a design process rather than an XAI technique. Finally, an overview of the current state of HCXAI is presented, as well as areas where further research is required.

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Publication Details

Journal
ACM Transactions on Interactive Intelligent Systems
Published
2025-10-14
DOI
https://doi.org/10.1145/3771720
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
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article

Design Principles for Human-Centred Explainable AI: A Scoping Review

Ibrahim Habli, Mark Sujan, John McDermid, Tom Lawton et al.
ACM Transactions on Interactive Intelligent Systems
Explainable Artificial Intelligence (XAI)
article

Design Principles for Human-Centred Explainable AI: A Scoping Review

Ibrahim Habli, Mark Sujan, John McDermid, Tom Lawton, Nathan Hughes, Yan Jia
article en

Abstract

The field of Human-Centred Explainable AI (HCXAI) has been rapidly expanding. In turn, there has been an increase in the number of papers suggesting design principles for HCXAI. However, it is unclear the extent to which design requirements overlap between papers, and in turn what the field overall considers to be HCXAI design requirements. To overcome this, this study analysed the state of the field via a scoping review of papers suggesting HCXAI design requirements, and a Content Analysis of the extracted principles. A total of 330 design principles were identified from 35 papers, which were subsequently categorised into 43 codes and grouped into 4 main areas of focus. Based on these findings, we propose a definition of HCXAI which identifies HCXAI as a design process rather than an XAI technique. Finally, an overview of the current state of HCXAI is presented, as well as areas where further research is required.

ACM Transactions on Interactive Intelligent SystemsVol. 16(1)
University of Bradford (GB), Academy for Healthcare Improvement (US), University of York (GB)
Openalex Percentile: Top 85%
Explainable Artificial Intelligence (XAI)
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Design Principles for Human-Centred Explainable AI: A Scoping Review — Ibrahim Habli, Mark Sujan, et al. · ACM Transactions on Interactive Intelligent Systems (2025) | TGRS Research Map | TGRS