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A Design Science Approach to Unconscious Bias Mitigation in Information Systems Design
Katie Elizabeth O'Reilly, Stephen McCarthy, Wendy Rowan
Unconscious bias refers to the deeply ingrained beliefs that shape our decision-making, which we are often unaware of. Biases are not only present in humans but can also be replicated in digital technologies, resulting in the exclusion and marginalisation of certain user groups. Despite this, our understanding of unconscious biases in Information Systems (IS) design remains limited. This research aims to investigate how developers can mitigate unconscious bias using a design science research approach. We first develop a set of design principles for addressing our biases based on qualitative interviews and insights from Cognitive Dissonance Theory and the Theory of Communicative Action. Thereafter, we present findings from four workshops with participants to design, build, and evaluate the “Unconscious Bias Self-Assessment Rubric”, an artefact for critical reflection and dialogue across different stages of IS design. We discuss how the artefact triggered awareness of biases to guide more inclusive and accessible solutions.

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