An AI model trained on prison phone calls now looks for planned crimes in those calls
The Rise of AI-Powered Surveillance in Prisons: A New Era of Monitoring and Predictive Policing
In a move that has sparked both excitement and concern, a US telecom company has developed an AI model trained on years of inmates' phone and video calls. The model is now being piloted to scan calls, texts, and emails in the hope of predicting and preventing crimes. Securus Technologies, the company behind this innovation, claims that its AI tools can detect and understand when crimes are being thought about or contemplated, allowing for earlier intervention and potentially disrupting human trafficking and gang activities.
The Technology Behind the Model
Securus began building its AI tools in 2023, using its massive database of recorded calls to train AI models to detect criminal activity. The company has created one model using seven years of calls made by inmates in the Texas prison system, and is working on building other state- or county-specific models. The AI model analyzes phone and video calls, text messages, and emails, and then flags sections for human agents to review. These agents then send the flagged sections to investigators for follow-up.
The Implications of AI-Powered Surveillance
The use of AI-powered surveillance in prisons raises several concerns. Bianca Tylek, executive director of the prison rights advocacy group Worth Rises, argues that the practice is coercive, as inmates are not aware that their conversations could be used to train an AI model. Tylek also points out that inmates pay for these calls, and that the company is not compensating them for the use of their data. Corene Kendrick, the deputy director of the ACLU's National Prison Project, adds that the new AI system enables a system of invasive surveillance, and that courts have specified few limits to this power.
The Role of the FCC in Regulating AI-Powered Surveillance
In 2024, the Federal Communications Commission (FCC) issued a major reform that forbade telecoms from passing the costs of recording and surveilling calls on to inmates. However, this reform was met with negative reactions from associations of sheriffs and attorneys general from 14 states, who argued that they could no longer afford proper monitoring of calls. In June, the FCC postponed all deadlines for jails and prisons to adopt the 2024 reforms, and signaled that the agency wants to help telecom companies fund their AI surveillance efforts with the fees paid by inmates.
The Future of AI-Powered Surveillance in Prisons
The FCC's recent ruling has allowed companies like Securus to pass security costs relating to recording and monitoring of calls on to inmates. This has sparked concerns about the potential for increased surveillance and the erosion of inmates' rights. However, Securus argues that its tools are fundamental to maintaining secure facilities for incarcerated individuals and correctional staff, and that they are necessary to protect the public.
Conclusion
The use of AI-powered surveillance in prisons is a complex issue that raises both practical and ethical concerns. While the technology has the potential to disrupt human trafficking and gang activities, it also raises questions about the limits of surveillance and the rights of inmates. As the technology continues to evolve, it is essential that policymakers and regulators carefully consider the implications of AI-powered surveillance in prisons and ensure that it is used in a way that respects the rights of all individuals involved.
Deep Dive: The Ethics of AI-Powered Surveillance
The use of AI-powered surveillance in prisons raises several ethical concerns. One of the main concerns is the potential for bias in the AI model. If the model is trained on biased data, it may perpetuate existing inequalities and discriminate against certain groups of people. Another concern is the potential for mass surveillance, which could erode civil liberties and create a culture of fear.
The Role of Transparency in AI-Powered Surveillance
Transparency is essential in AI-powered surveillance. Inmates and their families have a right to know that their conversations are being recorded and analyzed. They also have a right to know how the AI model is being used and what data it is being trained on. Transparency can help build trust and ensure that the technology is being used in a way that respects the rights of all individuals involved.
The Future of AI-Powered Surveillance in Prisons
The future of AI-powered surveillance in prisons is uncertain. While the technology has the potential to disrupt human trafficking and gang activities, it also raises questions about the limits of surveillance and the rights of inmates. As the technology continues to evolve, it is essential that policymakers and regulators carefully consider the implications of AI-powered surveillance in prisons and ensure that it is used in a way that respects the rights of all individuals involved.
Recommendations
- Increase transparency: Inmates and their families have a right to know that their conversations are being recorded and analyzed. They also have a right to know how the AI model is being used and what data it is being trained on.
- Implement bias mitigation: The AI model should be designed to mitigate bias and ensure that it is fair and unbiased.
- Establish clear guidelines: Clear guidelines should be established for the use of AI-powered surveillance in prisons, including limits on the type of data that can be collected and how it can be used.
- Provide training: Correctional staff should receive training on the use of AI-powered surveillance and how to ensure that it is used in a way that respects the rights of inmates.
- Monitor and evaluate: The use of AI-powered surveillance in prisons should be continuously monitored and evaluated to ensure that it is being used in a way that respects the rights of all individuals involved.
