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Jul 26, 2023 · AI systems, like Oasys, rely on arrest data as proxies for crime when they could in some cases be proxies for racially biased law enforcement (and there are plenty of examples in the UK...
Data-driven decision-making regimes, often branded as “artificial intelligence” (AI), are rapidly proliferating across the U.S. criminal legal system as a means of managing the risk of crime and addressing accusations of discriminatory practices.
Feb 13, 2019 · In modern-day predictive policing systems, which rely on machine learning to forecast crime, those corrupted data points become legitimate predictors. The paper’s findings call the validity...
- Karen Hao
- Inaccuracy and Bias Embedded in Ai Systems
- Lack of Human Oversight in Automated Processes
- The Surveillance State
Automated-policing approaches are often inaccurate. A 2018 trial conducted by the London Metropolitan Police used facial recognition to identify 104 previously unknown people who were suspected of committing crimes. Only 2 of the 104 were accurate. “From the moment a police officer wrongly identifies a suspect until the moment the officer realizes ...
Automated systems remove human oversight. As law enforcement agencies increasingly rely on these deep learning tools, the tools themselves take on an authority, and their predictions are often unquestioned. This has resulted in what Kate Crawford and Jason Schultz, in their report “AI Systems as State Actors” call an “accountability gap,” which “ma...
For all of the glaring human rights problems in automated policing in America, we live in a country in which the idea of police protection is baked into our Constitution. In governments that do not have this kind of protection, automated policing technology can be used for ill purposes. In China, for instance, facial recognition is used for purchas...
Apr 9, 2018 · In Chicago, for example, the predictive tools analyze complex social networks through publicly accessible data in an attempt to forecast likely perpetrators and victims of violent crime. Once an individual is arrested, they are likely to be subjected to a pre-trial risk assessment tool.
- ACLU Staff
In this paper, we investigate biases in violent arrest data by analysing racial disparities in the likelihood of arrest for White and Black violent offenders. We focus our study on 2007–2016 incident-level data of violent offenses from 16 US states as recorded in the National Incident Based Reporting System (NIBRS).
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Jul 15, 2022 · Predictive policing tools are built by feeding data — such as crime reports, arrest records and license plate images — to an algorithm, which is trained to look for patterns to predict where ...
