ProPublica 2016 investigation
GPTKB entity
Statements (18)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
investigative journalism project
|
| gptkbp:author |
gptkb:Jeff_Larson
gptkb:Julia_Angwin gptkb:Lauren_Kirchner gptkb:Surya_Mattu |
| gptkbp:awarded |
2016 Scripps Howard Award
|
| gptkbp:conductedBy |
gptkb:ProPublica
|
| gptkbp:focus |
gptkb:COMPAS_risk_assessment_tool
criminal justice algorithmic bias |
| gptkbp:foundIn |
racial bias in risk assessment scores
|
| https://www.w3.org/2000/01/rdf-schema#label |
ProPublica 2016 investigation
|
| gptkbp:impact |
sparked debate on fairness of algorithms in criminal justice
|
| gptkbp:publicationYear |
2016
|
| gptkbp:subjectOf |
academic debate and follow-up studies
|
| gptkbp:title |
gptkb:Machine_Bias
|
| gptkbp:bfsParent |
gptkb:Compas
|
| gptkbp:bfsLayer |
6
|