Auditing the fairness of place-based crime prediction models implemented with deep learning approaches
Published in Computers, Environment and Urban Systems, 2023
We conducted a comprehensive fairness audit of deep learning-based crime prediction models, examining potential biases and disparities in prediction accuracy across different demographic groups and neighborhood characteristics.
Recommended citation: Wu, J., Abrar, S. M., Awasthi, N., & Frias-Martinez, V. (2023). Auditing the fairness of place-based crime prediction models implemented with deep learning approaches. Computers, Environment and Urban Systems, 102, 101967.
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