Wer ist schuld, wenn Algorithmen irren? Entscheidungsautomatisierung, Organisationen und Verantwortung
Angelika Adensamer, Rita Gsenger, Lukas Daniel Klausner

TL;DR
This paper reviews key issues of responsibility, transparency, and accountability in algorithmic decision support systems within organizations, and offers guidelines and a digital tool to help practitioners assign responsibility effectively.
Contribution
It provides an overview of responsibility issues in ADS and introduces a practical guideline and digital tool for mapping responsibility in organizational contexts.
Findings
Identifies open questions and research gaps in ADS responsibility.
Develops a guideline and digital tool for responsibility mapping.
Highlights the importance of transparency and accountability in ADS use.
Abstract
Algorithmic decision support (ADS) is increasingly used in a whole array of different contexts and structures in various areas of society, influencing many people's lives. Its use raises questions, among others, about accountability, transparency and responsibility. Our article aims to give a brief overview of the central issues connected to ADS, responsibility and decision-making in organisational contexts and identify open questions and research gaps. Furthermore, we describe a set of guidelines and a complementary digital tool to assist practitioners in mapping responsibility when introducing ADS within their organisational context. -- Algorithmenunterst\"utzte Entscheidungsfindung (algorithmic decision support, ADS) kommt in verschiedenen Kontexten und Strukturen vermehrt zum Einsatz und beeinflusst in diversen gesellschaftlichen Bereichen das Leben vieler Menschen. Ihr Einsatz…
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Taxonomy
TopicsEthics and Social Impacts of AI · Innovation, Sustainability, Human-Machine Systems · Corporate Management and Leadership
MethodsUnsupervised Abstractive Meeting Summarization · Adaptive Label Smoothing
