Ngozi Okidegbe - “Discredited Data” - UNCC Center for Ethics and Applied Philosophy

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Ngozi Okidegbe is an Asst. Prof. at Cardozo School of Law
Abstract: Pretrial algorithms have often reproduced the very socioeconomic and racial inequities they were implemented to correct. This presentation contends that one reason for this reproduction is that pretrial algorithms are constructed and trained exclusively with raced and classed data: data from carceral knowledge sources like the police and courts. Redressing this problem will require a paradigmatic shift away from carceral knowledge sources. One category of non-carceral knowledge sources worth utilizing in algorithmic construction is knowledge produced by communities most impacted by the criminal legal system. Though this kind of data has traditionally been discredited and excluded, tapping into it offers a path toward developing algorithms that have the potential to produce racially and socioeconomically just outcomes