Algorithmic Bail Risk Assessment

This is a news story, published by Verge, that relates primarily to Sino Esthappan's news.

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human judges

Verge

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Judges let algorithms help them make decisions, except when they don’t

Summary

Nutrition label

83% Informative

Algorithmic risk assessments are intended to calculate the risk of a criminal defendant not returning to court.

They're supposed to help judges gauge how risky releasing someone from jail would be.

Northwestern University graduate student Sino Esthappan's study shows that's a flawed assumption at best.

Interviews revealed patterns in judges’ decisions to use risk assessment scores.

Some judges believed the systems underestimated the importance of certain red flags.

Judges also said they used the scores as a matter of efficiency in short hearings.

Judges were keenly aware of how a decision would reflect on them.

Algorithmic tools are aiming to address a real issue with imperfect human decision-making.

“There’s an issue that can’t necessarily be fixed with risk assessments, but that it goes into a deeper cultural issue within criminal courts,” Esthappan says.

VR Score

Informative language

Neutral language

Article tone

informal

Language

English

Language complexity

Offensive language

possibly offensive

Hate speech

not hateful