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US prisons battle evolving drone technology used to smuggle contraband to inmates

FOX News

Drone detection technology has led to an increase in airborne smuggling operations over U.S. prisons, putting authorities in a tough spot as federal regulations prevent drones from being brought down.


The Download: spotting crimes in prisoners' phone calls, and nominate an Innovator Under 35

MIT Technology Review

The Download: spotting crimes in prisoners' phone calls, and nominate an Innovator Under 35 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 models for other states and counties. However, prisoner rights advocates say that the new AI system enables a system of invasive surveillance, and courts have specified few limits to this power. We have some exciting news: Nominations are now open for MIT Technology Review's 2026 Innovators Under 35 competition. This annual list recognizes 35 of the world's best young scientists and inventors, and our newsroom has produced it for more than two decades.


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."


AI chatbots could help stop prisoner release errors, says justice minister

The Guardian

HMP Wandsworth gets green light to use AI after team sent in to find'quick fixes' after spate of mistakes Artificial intelligence chatbots could be used to stop prisoners from being mistakenly released from jail, a justice minister told the House of Lords on Monday. James Timpson said HMP Wandsworth had been given the green light to use AI after a specialised team was sent in to find "some quick fixes". A double manhunt was launched last week after the incorrect release of a sex offender and a fraudster from the prison in south-west London. Release errors over the past fortnight have been seized upon by opposition MPs as evidence of the helplessness of ministers in the face of chaos within the criminal justice system. David Lammy, the justice secretary, is expected to address parliament about the number of missing prisoners when MPs return on Tuesday. It is understood that AI could be used to read and process paper documents; help staff cross-reference names to ensure that inmates are no longer hiding their past crimes behind aliases; merge different datasets; and calculate release dates and sentences.


Protecting De-identified Documents from Search-based Linkage Attacks

Lison, Pierre, Anderson, Mark

arXiv.org Artificial Intelligence

While de-identification models can help conceal the identity of the individual(s) mentioned in a document, they fail to address linkage risks, defined as the potential to map the de-identified text back to its source. One straightforward way to perform such linkages is to extract phrases from the de-identified document and then check their presence in the original dataset. This paper presents a method to counter search-based linkage attacks while preserving the semantic integrity of the text. The method proceeds in two steps. We first construct an inverted index of the N-grams occurring in the document collection, making it possible to efficiently determine which N-grams appear in less than $k$ documents (either alone or in combination with other N-grams). An LLM-based rewriter is then iteratively queried to reformulate those spans until linkage is no longer possible. Experimental results on a collection of court cases show that the method is able to effectively prevent search-based linkages while remaining faithful to the original content.


Reading the post-riot posts: how we traced far-right radicalisation across 51,000 Facebook messages

The Guardian

Jail sentences for those who made posts about the UK riots in summer 2024 have become a flashpont for online criticism. Jail sentences for those who made posts about the UK riots in summer 2024 have become a flashpont for online criticism. More than 1,100 people have been charged in connection to the summer 2024 riots. A small number of them were charged for offences related to their online activity. Their jail sentences - which ranged from 12 weeks to seven years - became a flashpoint for online criticism.


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.