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AI Examines Rape Reports: Unveiling Implicit Bias

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Manage episode 380617076 series 3502482
Content provided by Ryan Lazuka and Hunter Kallay. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ryan Lazuka and Hunter Kallay or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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/

FRY-AI.COM

https://www.fry-ai.com/subscribe
https://twitter.com/lazukars
https://twitter.com/thefryai

  continue reading

33 episodes

Artwork
iconShare
 
Manage episode 380617076 series 3502482
Content provided by Ryan Lazuka and Hunter Kallay. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ryan Lazuka and Hunter Kallay or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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/

FRY-AI.COM

https://www.fry-ai.com/subscribe
https://twitter.com/lazukars
https://twitter.com/thefryai

  continue reading

33 episodes

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