When AI Becomes the Reader, Structure Becomes Authority
When AI systems process government information, they can’t always tell if a policy is current or even if it’s official. Structure provides the clues.
Confronting Bias in Artificial Intelligence
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.
Contacting Your Former Colleague Who Was Bullied
Supporting former colleagues who were bullied in the workplace may be difficult, but it’s important. Read on for tips on overcoming the awkwardness.
The Rise of Human-AI Decision Teams in Government
AI is reshaping decision-making across government, creating hybrid human-AI decision teams that combine machine speed and pattern recognition with human judgment, accountability, and context. Such collaboration can deliver faster and more effective mission outcomes, risk detection, and other benefits.
Being Truly Welcoming to People With Disabilities
Organizations should welcome and accept people with disabilities; superficial acceptance, known as virtue signaling, is not only unfortunate — it’s harmful. Learn why, and what true acceptance of people with disabilities looks like.
Why Public Information Officers Are Confronting a New Problem: AI Attribution
As AI increasingly becomes an intermediary between government organizations and the public, the structure of information begins to matter as much as the content itself. It is not a shift in messaging — it is a shift in how data is read.
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.
How to Intentionally Build the Career You Want
Learn a simple, strategic way to turn your resume into a living development plan that actually moves your career forward. Read how a three‑step approach can help you intentionally build the career you want.
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.
AI Data Centers: An Additional Consideration
RDMA is a fascinating approach to “sharing memory” without having to burden a CPU. Learn why, and why AI data centers and cloud vendors use it.