Rapidly expanding application of algorithms in the workplace and our everyday lives has led to emerging new challenges related to their scrutiny and accountability. Today organizations face legal, ethical and brand reputation consequences caused by algorithmic bias and other impacts of algorithmic systems usage. This research-inprogress seeks to contribute to IS literature by proposing a set of design principles for improving algorithmic accountability as a part of an organizational IT strategy. Drawing on accountability and ethically aligned design theories, this study utilizes action design research methodology based on the data gathered within the context of an immersive practice-based project. This paper presents a synopsis of the first project cycle by investigating barriers to improving algorithmic accountability within an organization.
Tomilova, Aleksandra, "Barriers to Improving Algorithmic Accountability: an Elaborated Action Design Research" (2021). PACIS 2021 Proceedings. 212.
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