Unmasking Algorithmic Bias in Predictive Policing: A GAN-Based Simulation Framework with Multi-City Temporal Analysis

1. 1Develop a GAN-based simulation framework to model predictive policing systems
2. 2Couple the GAN with a Noisy OR patrol detection model to measure racial bias propagation
3. 3Conduct multi-city temporal analysis to quantify algorithmic bias in predictive policing
4. 4Evaluate the framework using real-world data to validate its effectiveness

Data scientists and AI engineers on a team can benefit from this research to develop more fair and unbiased predictive models, while product managers can use this framework to evaluate the potential impact of biased models on their products

💡 Algorithmic bias in predictive policing systems can be quantified and mitigated using a GAN-based simulation framework

💡 Unmasking algorithmic bias in predictive policing with GAN-based simulation framework