AI systems increasingly act as intermediaries between government information and the people seeking it. That could be risky when AI misinterprets the context of information it draws from. Learn about technology that can head off these concerns.
In this video interview, Tony Holmes with Pluralsight discusses how to overcome the drawbacks of many government AI-training programs.
Artificial intelligence is rapidly transforming government, and successful agencies will develop leaders who can integrate AI into decision-making, workforce development, governance, and mission execution. Explore how AI can help public-sector leaders build more agile, resilient, and high-performing organizations prepared for future challenges.
In this video interview, Karan Sondhi with CrowdStrike discusses AI’s growing impact on government cybersecurity operations.
Risk management is often viewed as a compliance requirement rather than a strategic capability. However, as agencies face increasingly complex threats, emerging technologies, workforce challenges, and operational disruptions, executives must rethink how they identify, assess, and manage risk. This article examines how government leaders can transform risk management from a defensive exercise into a source… Read more »
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.