Year: 2025
Type: article
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.
DOI: 10.1145/3771720
Institutions: University of York, Bradford Institute for Health Research
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Funder: Lloyd's Register
OpenAlex ID: W4415157142