AI in Government Starts With Trust in Data, but Is Built With People
AI is embedded in government operations, and agencies need a proactive approach to data governance in order to mitigate risk — and foster trust.
Posts Tagged: data governance
Privacy in the Enterprise-AI Age: Strategic Implications Across Government and Key Infrastructure
As government organizations make greater use of AI, their privacy risks are expanding beyond traditional data protection. Critical infrastructure sectors must address new challenges related to data aggregation and accountability for AI-assisted decisions, among other concerns. To navigate this landscape successfully, organizations must enforce strong privacy protections to sustain innovation while maintaining public trust.
Trust Architecture: Designing Systems That Citizens Believe In
As government services increasingly move to digital platforms and AI-assisted systems, public trust is shaped not only by policy but by how those systems are designed. So, to strengthen citizen confidence while advancing modernization, agencies are implementing a trust architecture that focuses on building transparency, fairness, and reliability.
AI Can Create Convincing Illusions. Governance Protects Public Trust.
AI offers enormous potential to help agencies and institutions work more effectively. But those benefits only materialize when AI is used within a framework of strong data governance.
Governance Before Algorithms: What the ARMA 2026 InfoGov Summit Taught Us About AI’s Future in Government
Approaching AI with governance as the starting point, not an afterthought, will reduce risk, increase transparency and improve service delivery.
Scaling Up Data Governance for AI
In this video interview, Terry Dorsey, Senior Data Architect and Evangelist at Denodo, discusses rethinking data management in the age of AI.
The “AI Air Gap”: Why Governments Are Digitizing Without Integrating
Governments are racing to adopt AI, yet many struggle. In 2026, success will belong to those who invest in trust, interoperability, and shared purpose.
Building an AI-Forward Workforce: How Agencies Can Prepare for the Future of Work
Government agencies continue to face the critical challenge of preparing the workforce to operate effectively in an AI-driven environment.
On the Road to Responsible AI
AI has come a long way in the past few years, and agencies have learned a lot about best practices. The good news is there’s a growing body of guidance.
How to Manage Distributed Data Securely, Effectively
Processing data locally speeds up the time for decision making. Edge data can better support mission context and relevance. But distributed data brings with it new challenges. Here’s how to meet them.