Proponents argue careful algorithm design can curtail implicit racial bias in court

Evidence

The chapters in this volume have documented how implicit racial biases work their way into the legal system and produce invidious consequences based on race or ethnicity. We will suggest that technology can provide a way forward. By carefully considering how to properly use data-driven algorithms, the impact of conscious or unconscious biases can be reduced, rendering more fair and equitable treatment for people of all races. — Joseph Avery, Jim Sidanius, Joel Cooper, Gregory Davis, Amanda N., Bias in the Law, 1141

Categorization

• ADDENDUM: Directly engages the conviction-vs-measured-bias problem: proposes algorithmic correction as an alternative to moral correction that backfires.
• corroborated: 2 independent passages support this claim — Joseph Avery, Jim Sidanius, Joel Cooper, Gregory Davis, Amanda N., Bias in the Law: A Definitive Look at…, 1141