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An AI model trained on prison phone calls now looks for planned crimes in those calls

MIT Technology Review

The model is built to detect when crimes are being "contemplated." A US telecom company trained an AI model on years of inmates' phone and video calls and is now piloting that model to scan their calls, texts, and emails in the hope of predicting and preventing crimes. Securus Technologies president Kevin Elder told that the company began building its AI tools in 2023, using its massive database of recorded calls to train AI models to detect criminal activity. It created one model, for example, using seven years of calls made by inmates in the Texas prison system, but it has been working on building other state-or county-specific models. Over the past year, Elder says, Securus has been piloting the AI tools to monitor inmate conversations in real time (the company declined to specify where this is taking place, but its customers include jails holding people awaiting trial, prisons for those serving sentences, and Immigrations and Customs Enforcement detention facilities). "We can point that large language model at an entire treasure trove [of data]," Elder says, "to detect and understand when crimes are being thought about or contemplated, so that you're catching it much earlier in the cycle."


Prisoner gunned down outside MacArthur Park facility for state inmates nearing release

Los Angeles Times

Things to Do in L.A. Tap to enable a layout that focuses on the article. The California Department of Corrections and Rehabilitation operates a reentry facility across the street from MacArthur Park. Two inmates living at the facility were shot, one fatally, on Sept. 2. Voice comes from the use of AI. Please report any issues or inconsistencies here . One man was killed and another wounded outside a facility for state prisoners serving out the remainder of their sentences in the community.


Did faulty drug tests taint parole hearings? California is reviewing hundreds of denials

Los Angeles Times

The California Department of Corrections and Rehabilitation is reviewing hundreds of state parole hearings to see if any inmates who were denied parole were rejected because of faulty drug tests. Nearly 6,000 drug tests in California prisons are believed to have yielded false positives between April and July last year, and attorneys for the Board of Parole are now conducting a review of inmate files to determine if any of them need to appear before the parole board again to be reconsidered, according to officials with CDCR. If any inmates were denied parole because of the faulty tests, they could be owed a new hearing before the parole board, said attorneys representing inmates affected by the defective drug tests. The review is already underway and will determine if "without the positive drug screening, there is sufficient evidence to support an incarcerated person's denial of parole," said CDCR spokesperson Emily Humpal in a statement. If there isn't enough evidence to support incarceration other than the drug test, a new hearing will be scheduled.


Drones flying into jails in England and Wales are national security threat, says prisons watchdog

The Guardian

Drones have become a "threat to national security", the prisons watchdog has said, after a surge in the amount of weapons and drugs flown into high-security jails. Charlie Taylor, the chief inspector of prisons, called for urgent action from Whitehall and the police after inquiries found that terrorism suspects and criminal gangs could escape or attack guards because safety had been "seriously compromised". His demands follow inspections at two category A prisons holding some of England and Wales's most dangerous inmates. HMP Manchester and HMP Long Lartin in Worcestershire had thriving illicit economies selling drugs, mobile phones and weapons, and basic anti-drone security measures such as protective netting and CCTV had been allowed to fall into disrepair, inspectors found. In a report released on Tuesday, Taylor said the police and prison service had "in effect ceded the airspace above two high-security prisons to organised crime gangs" despite knowing they were holding "extremely dangerous prisoners".


Prison Architect 2 is a 3D sequel to a beloved indie game, and it's arriving March 26

Engadget

The cult hit Prison Architect is getting a sequel and it's actually releasing pretty soon. The franchise follow-up launches on March 26 for PC via Steam, Xbox Series X/S and PlayStation 5. There's even a trailer, posted below. Of note, Prison Architect 2 brings the series to 3D, as the original was a strictly top-down affair. The sequel has a cartoonish look that's slightly reminiscent of newer Dragon Quest games, but the gameplay is anything but a JRPG. As the name suggests, it's a robust prison-building simulator.


Whether or not defendants get death penalty is based on LOOKS, study suggests

Daily Mail - Science & tech

Jurors take an oath to make rulings without bias or prejudice, but a new study suggests that promise is broken when the death penalty is on the table. Researchers from Columbia University on Thursday revealed that the shape of defendants' facial features affects whether they are sentenced to death or given life in prison. Hundreds of mugshots of Florida inmates who were convicted of murder were shown to a mock jury in the experiment. Certain facial features – such as downturned lips and heavy eyebrows – were judged to be more untrustworthy and more likely to be sentenced to death. Hundreds of mugshots of Florida inmates who were convicted of murder were shown to a mock jury in the experiment.


Generalizing Group Fairness in Machine Learning via Utilities

Blandin, Jack (a:1:{s:5:"en_US";s:33:"University of Illinois at Chicago";}) | Kash, Ian A. (University of Illinois at Chicago)

Journal of Artificial Intelligence Research

Group fairness definitions such as Demographic Parity and Equal Opportunity make assumptions about the underlying decision-problem that restrict them to classification problems. Prior work has translated these definitions to other machine learning environments, such as unsupervised learning and reinforcement learning, by implementing their closest mathematical equivalent. As a result, there are numerous bespoke interpretations of these definitions. This work aims to unify the shared aspects of each of these bespoke definitions, and to this end we provide a group fairness framework that generalizes beyond just classification problems. We leverage two fairness principles that enable this generalization. First, our framework measures outcomes in terms of utilities, rather than predictions, and does so for both the decision-maker and the individual. Second, our framework can consider counterfactual outcomes, rather than just observed outcomes, thus preventing loopholes where fairness criteria are satisfied through self-fulfilling prophecies. We provide concrete examples of how our utility fairness framework avoids these assumptions and thus naturally integrates with classification, clustering, and reinforcement learning fairness problems. We also show that many of the bespoke interpretations of Demographic Parity and Equal Opportunity fit nicely as special cases of our framework.


Special delivery: Drones are smuggling contraband into California prisons, feds say

Los Angeles Times

Walls and rules have never stopped prisoners from getting what they need. Drugs, phones and other contraband have been smuggled in by guards and visitors, flung over fences and even stashed inside hollowed-out pastries in care packages. Now, two men are accused of using an increasingly common technology to bypass prison walls: drones. Federal prosecutors in Fresno have charged Jose Enrique Oropeza and David Ramirez Jr. with using drones to drop loads of methamphetamine, heroin, cocaine, tobacco and cellphones into the yards of seven prisons across California. Oropeza was arrested March 29; Ramirez on April 4. Along with drug trafficking offenses, the men face airspace violations of operating unregistered aircraft and flying without a certificate, a redacted indictment shows.


Viral Donald Trump Arrest + Escape Photos Explained!

#artificialintelligence

The viral Donald Trump arrest and prison escape photos are hilarious, and were based on a famous movie! Take a look for yourself, and learn about the story behind these viral photos! BREAKING: Donald Trump was just arrested by New York law enforcement. Recommended: Did Simon Cowell Just Die In A Car Accident?! The truth is these viral Donald Trump arrest photos are fake, and were generated by artificial intelligence, and is really based on a famous Hollywood movie! First, let me just confirmed that all those viral photos of police officers trying to arrest Donald Trump are fake, and were generated by artificial intelligence.


AI predicts arrests within three years of a being prisoner released on parole

Daily Mail - Science & tech

It may sound like the plot of the 2002 movie Minority Report, but artificial intelligence can predict any arrest within three years of a prisoner being released on parole. The machine learning was designed to determine the risk of releasing a prisoner early by analyzing 91 variables, including age, race and previous arrests. Scientists from The University of California, Davis (UC Davis) used the data of more than 19,000 inmates scheduled with the New York State Parole Board from 2012 to 2015. Court documents show 4,168 individuals were released, but that AI determined the board could have released double the inmates without increasing the subsequent arrest rate. The film, set in 2054, is about a specialized police department that apprehends criminals using foreknowledge provided by three psychics called'precogs.'