Film Lens
The documentary examines the use of predictive algorithms in the criminal justice system, focusing on how data is collected and utilized to forecast criminal activity. It discusses the implications of relying on algorithms for decisions about bail and policing, questioning their reliability and potential biases. The film features insights from individuals like Andrew Papachristos, who reflects on his experiences growing up in Chicago during a violent era, highlighting the historical context of crime in urban environments.
Through the lens of big data, the film raises critical questions about accountability and the moral implications of using technology in justice. It emphasizes the need for transparency in how algorithms operate and the consequences of their predictions, both positive and negative. The narrative challenges viewers to consider whether these technological advancements truly lead to safer communities or reinforce existing biases within the legal system.
Why Watch
- •Find out how algorithms predict crime and bail decisions.
- •See the historical context of violence in 1990s Chicago.
- •Meet Andrew Papachristos and hear his personal story.
Did You Know
•Predictive algorithms are used in 17 states for crime forecasting.
•Chicago experienced some of its most violent periods in the 1980s and 1990s.
•Andrew Papachristos grew up in Chicago during the 1990s and worked in his family's restaurant.
Perfect For
Data ethicsCriminal justice reformUrban history