AI Examines Rape Reports: Unveiling Implicit Bias

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In this interview, Rachel Lovell and Jiaxin Du discuss their groundbreaking AI project analyzing bias in police reports of sexual assault cases. Criminology professor Rachel and data scientist Jiaxin Du share how they leveraged natural language processing and statistical machine learning methods to uncover troubling patterns in thousands of police reports. Their findings uncovered implicit bias against certain victims based on race, age, and other factors. This project demonstrates the power of AI to identify systemic bias and has major implications for improving policing practices and achieving justice for victims.

DONATIONS

https://clevelandrapecrisis.org/support/donate-now/
https://give.rainn.org/a/donate

THE PROJECT

https://www.sciencedirect.com/science/article/abs/pii/S0047235223000788
https://www.sciencedirect.com/science/article/abs/pii/S0047235223000776
https://sites.google.com/view/nlp-for-rape-reports/lexicon

RACHEL LOVELL

https://expertise.csuohio.edu/csufacultyprofile/detail.cfm?FacultyID=r_e_lovell

JIAXIN DU

https://www.linkedin.com/in/jiaxin-du-a3861134/

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https://twitter.com/thefryai

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