#publicadministration (4 results)

Explainer: ADM in the public sector

The algorithmic administration

Automating administration processes promises efficiency. Yet the procedures often put vulnerable people at a disadvantage, as shown by a number of examples throughout Europe. We’ll explain why using automation systems in the domain of public administration can be especially problematic and how risks may be detected at an early stage.

Automated Decision-Making Systems in the Public Sector – Some Recommendations

When using automated decision-making systems (ADM systems) in the public sector, authorities act in a unique context and bear special responsibilities towards the people affected. Against this background, the use of ADM systems by public administrations should be subject to stringent transparency mechanisms – including public registers and mandatory impact assessments.

Automated Decision-Making Systems in the Public Sector – An Impact Assessment Tool for Public Authorities

How can we ensure a trustworthy use of automated decision-making systems (ADMS) in the public administration? AlgorithmWatch and AlgorithmWatch Switzerland developed a concrete and practicable impact assessment tool for ADMS in the public sector. This publication provides a framework ready to be implemented for the evaluation of specific ADMS by public authorities at different levels.

Towards accountability in the use of Artificial Intelligence for Public Administrations

Michele Loi und Matthias Spielkamp analyze the regulatory content of 16 guideline documents about the use of AI in the public sector, by mapping their requirements to those of our philosophical account of accountability, and conclude that while some guidelines refer processes that amount to auditing, it seems that the debate would benefit from more clarity about the nature of the entitlement of auditors and the goals of auditing, also in order to develop ethically meaningful standards with respect to which different forms of auditing can be evaluated and compared.