Reviewing Grievances of Automated Decisions in UK Administrative Justice: Qualitative Documentary Analysis Methodology
DOI:
https://doi.org/10.19164/jlrm.v4i1.1699Abstract
AI and other advanced technologies are increasingly deployed in governmental decision-making, including for fundamentally important decisions. Traditional methods of redress for grievances, such as ombudsmen and judicial review, were designed to focus on processes of human decision making, which might not be applicable in cases involving components or whole decisions made by automated processes. There is a dearth of legal precedents for such issues, and theoretical implications of law in this area are typically lagging behind rapid technological and governmental developments. More timely and comprehensive insights are needed to understand emerging administrative justice issues. This paper explores the utilisation of empirical qualitative documentary analysis as a viable methodology to categorise the challenges in reviewing administrative automated decisions grievances, demonstrating the application of systematic review and thematic analysis to derive insights for legal development.
Published
Issue
Section
License
Copyright (c) 2025 Aysha Alshehri
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
