AI in Prisons and Corrections

Correctional institutions generate large volumes of information, including incident reports, schedules, calls, messages, health records, and case files. AI could help staff search or organize material, predict operational demand, flag possible safety events, or support classification. The risks differ by use. A tool that sorts maintenance requests is unlike one that influences housing, discipline, release planning, or access to services. The more a system affects liberty, safety, or family contact, the more important it is to check its evidence and process. Some correctional monitoring already uses recorded telephone calls and electronic communications. The Department of Justice’s Inspector General has audited Bureau of Prisons monitoring practices and issued recommendations concerning consistency, audio quality, and handling of high-risk communications. That work concerns monitoring operations and does not establish that AI is used in every system. If AI is added to such workflows, it may increase the volume or speed of screening but can misinterpret slang, language variation, jokes, or context. It may also surface protected or privileged communications that require special handling. Risk scores can inherit patterns in prior disciplinary or incident records, which reflect staff observation and institutional policy as well as behavior. A high score does not establish misconduct or predict an inevitable event. Agencies should test the tool on the intended population and action, examine differences in false alarms and missed events, and document which records affect the score. People should have a way to correct factual errors where process permits, and staff must retain authority to reject the tool’s recommendation. Governance should specify permitted purpose, legal authority, access, retention, vendor access, audit requirements, and notice. Procurement should preserve independent testing and allow inspection of relevant system records. Institutions should involve counsel, privacy officers, staff, incarcerated people, and advocates when policies affect communication or classification. A controlled pilot should compare outcomes with existing practice, include independent review, and stop if harms exceed benefits.