Community-Informed AI Models for Police Accountability

1. 1Collect and annotate data from body-worn cameras (BWCs) to train AI models
2. 2Develop and fine-tune AI models to analyze police interactions and detect potential misconduct
3. 3Deploy models in a way that prioritizes community feedback and transparency
4. 4Continuously evaluate and update models to ensure accuracy and fairness

Data scientists and AI engineers on a team can benefit from this research to develop more accurate models for police accountability, while product managers can use these insights to inform the development of transparency and accountability tools

💡 Community-informed AI models can improve police accountability by analyzing interactions at scale

🚨 AI for police accountability: analyzing bodycam footage at scale 💡