Let's take a closer look at the important role of private AI systems as a driver for innovation in public safety, justice and interagency human services collaboration. While cloud-based AI models foster innovation, transparency, and broader participation, unrestricted openness can introduce substantive risks.
Just a few months ago, a market leader in artificial intelligence for consumer use announced the release of a new AI chatbot solution for government. Unlike its consumer-facing counterpart, this product was developed with public sector compliance, data security, and regulations in mind. This reflects a growing demand for AI in government services, where agencies must balance innovation with strict standards for privacy, accountability, and security.
Field observations recorded as contact notes provide the most predictive data for future calls for service, behavioral health crises, and public safety risks. Whether robustly collected at an initial contact or compiled across repeated interactions, field-contact notes offer critical details for harm reduction, de-escalation, diversion, referral, and case planning.
Caption: AI Solutions Boost Public Safety Capacity to Record and Retrieve Information
Over the past two decades, justice, law enforcement, and behavioral health agencies have been expanding to include new community-based roles focused on coordinating referrals across justice intercepts with local agencies and supportive services.
