When justice is blind to algorithms

New Publication Explores Legal and Social Implications of Algorithmic Decision-Making in Public Institutions

SCDI researchers have published a groundbreaking study addressing the pressing challenges of algorithmic decision-making (ADM) in public institutions. The study investigates how public agencies and legal systems respond—or fail to respond—to the social and legal injustices caused by ADM systems. Through an in-depth case study of ADM use in public school administration, the researchers uncover how organizational practices of ignoring the adverse effects of ADM contribute to the blackboxing of these systems. This leads to a lack of accountability and fosters both social and legal injustices. The paper introduces a conceptual model of ”organizational ignoring” and proposes a novel legal framework to guide ADM use in the public sector. This interdisciplinary work broadens the scope of algorithmic injustice research and highlights the urgent need for proactive legal and institutional measures to ensure fairness and transparency. The paper can be found here.

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