A new article by Georg Wenzelburger and Pascal König has just been published in Technology in Society.
Adding to the literature on challenges of algorithmic decision-making systems, the authors draw attention to how a legitimacy gap of algorithmic decision-making in the public sector arises and how it can be addressed through stakeholder involvement.
The paper starts from the widely discussed observation in the literature that even though ADM systems in the public sector promise to enhance the performance and efficiency of government, specifically in operative or front-line decision-making, they introduce a range of challenges regarding opaqueness, unfairness, and value trade-offs. However, and moving beyond this vivid discussion on how fair, accountable and transparent ADM systems, the paper emphasizes that the advent of algorithmic decision-making in the public sector rises a much more fundamental challenge which cannot be solved by the current proposals of ethical AI: In fact, as the introduction of ADM systems enables us to obtain certain outcomes of decisions by changing decision parameters ex ante, the epistemic basis of decision-making and therefore the foundation of legitimacy of ADM systems in administrative decision-making is put into question. The authors argue that the traditional basis of legitimacy, which has guided decision-making in public management and administration so far, therefore no longer suffices.
To close this legitimacy gap, the authors propose a model for stakeholder participation in ADM system adoption and design choice, based on a critical civic society, journalism and an algorithmic literacy in the populace. The model identifies the cornerstones of a participatory stakeholder involvement process and addresses the challenges involved in this process.