National security threats have evolved beyond traditional military and cybersecurity boundaries. To strengthen resilience in an era of continuous disruption, government leaders must adopt a holistic security approach that integrates policy, process, people, and platforms.
Since the internet’s arrival, people have been accessing government information far from its original source — from the agency website, for instance, that first published it. The information may still be accurate, but the context that makes it trustworthy is lost.
In this video interview, Laserfiche’s Andy MacIsaac and Alex Wong discuss how agencies can use AI to increase productivity and generate actionable insights.
AI readiness in government requires more than prompt training. It requires human judgment — the ability to verify AI responses and establish and maintain responsible AI practices that are essential for better decision-making.
Cities exploring AI for municipal field dispatch need clear work definitions, reliable data, approved operating rules, deployment planning and measurable outcomes before AI can improve urgent field-service response.
State and local agencies are looking for innovative solutions to address their financial and other challenges. Dave Cole, NJ’s Chief Innovation Officer, discusses how agencies can use AI and other technology to improve operations and deliver services more efficiently.
Technology should support officers, reduce administrative burden and help keep personnel focused on public safety instead of paperwork.
Government leaders face a dual challenge: the rising threat of AI-driven cyberattacks that call for stronger cyber defense, and DoW’s expanding use of AI. To manage AI securely and effectively, agencies should take seven actions.
In today’s AI-enabled environment, alignment alone is no longer enough to sustain consistent outcomes. Synchronization is the next phase.
A complex IT ecosystem helps ensure that AI models correctly interpret government communications and pass along accurate info about updates, alerts and other public matters. Part of that ecosystem is technology that can attribute what data the AI pulls from what source, and when.