Ethics-Based Auditing of Automated Decision-Making Systems: Intervention Points and Policy Implications
Jakob Mokander, Maria Axente

TL;DR
This paper proposes ethics-based auditing (EBA) as a structured, 'soft' governance mechanism for assessing automated decision-making systems, emphasizing intervention points across organizational and lifecycle stages to enhance ethical oversight.
Contribution
It introduces a practical framework for implementing EBA as a formal yet flexible governance tool linked to all levels of organizational and technical processes.
Findings
EBA should focus on ethical deliberation and documentation.
Effective EBA links to intervention points across all organizational levels.
Policymakers can support EBA through standardization and independent oversight.
Abstract
Organisations increasingly use automated decision-making systems (ADMS) to inform decisions that affect humans and their environment. While the use of ADMS can improve the accuracy and efficiency of decision-making processes, it is also coupled with ethical challenges. Unfortunately, the governance mechanisms currently used to oversee human decision-making often fail when applied to ADMS. In previous work, we proposed that ethics-based auditing (EBA), i.e. a structured process by which ADMS are assessed for consistency with relevant principles or norms, can (a) help organisations verify claims about their ADMS and (b) provide decision-subjects with justifications for the outputs produced by ADMS. In this article, we outline the conditions under which EBA procedures can be feasible and effective in practice. First, we argue that EBA is best understood as a 'soft' yet 'formal' governance…
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Taxonomy
TopicsEthics and Social Impacts of AI · Ethics in Business and Education · Privacy, Security, and Data Protection
