Space systems are rapidly evolving from national assets into globally interconnected critical infrastructure that supports communications, navigation, AI, defense, and other sectors. As this accelerates, so do cybersecurity threats to satellites and orbital infrastructure. Government must begin treating orbital infrastructure as part of the strategic digital backbone of modern civilization.
In government, the pressure to move fast on AI technology is real, but so are the risks. But agencies are learning that strong data governance will create a foundation for responsible, transparent, trustworthy AI.
Agencies publish an array of documents — decentralized and in different formats — that AI systems often misinterpret when answering resident questions. Standardization and centralization would address the problem, but those can be heavy lifts. A citation registry, however, can change how AI understands government writings.
In this video interview, Darren Williams with BlackFog discusses the risks associated with Shadow AI and how agencies can protect against them.
Public information — about road closures, meeting times, emergency responses, and other concerns — may be accurate, but AI’s interpretation of such communications may not be. Learn about one option to address the problem.
Facing resistance to change in government? Innovation isn’t just about new ideas — it’s about persistence.
Agentic AI offers capabilities beyond what earlier AI can do. But agentic AI’s autonomous nature amplifies an organization’s underlying data, governance and other weaknesses and requires a new IT mindset.
AI is no longer constrained by innovation; it is constrained by infrastructure, energy, and compute availability. As demand accelerates, leaders must shift from focusing on applications to designing resilient, scalable systems that enable sustained advantage. The future will be defined by who can power, govern, and scale AI effectively.
Agentic AI has the potential to transform how government responds to constituent needs — but state and local officials aren’t getting caught in the hype. Hear how Tennessee’s CIO explains her state’s careful, responsible path to incorporating agentic AI into state systems.
An AI system recently admitted to a featured contributor that it “flows downstream on a river of human bias” and rarely gets corrected. That should change how leaders use these tools. If you rely on AI for decisions, learn three practical ways to push back on AI bias and redirect the current.