Big data and due process¶
Crawford, K., & Schultz, J. (2014). Big data and due process: Toward a framework to redress predictive privacy harms. Boston College Law Review, 55(1), 93-128.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Procedural Fairness (Due Process)
- Crawford and Schultz (2014) propose "procedural data due process"—rights of notice, hearing opportunity, impartiality, and reasoned justification against high-stakes algorithmic predictions—as the appropriate doctrinal response to predictive analytics on big data.
This sourceArgues that predictive analytics on big data inflict harms current privacy law cannot redress and proposes "procedural data due process"—rights of notice, hearing, and meaningful contestation against high-stakes algorithmic predictions—as the appropriate doctrinal response.
- Crawford and Schultz (2014) propose "procedural data due process"—rights of notice, hearing opportunity, impartiality, and reasoned justification against high-stakes algorithmic predictions—as the appropriate doctrinal response to predictive analytics on big data.
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