Trust, Transparency, and the Algorithmic State: Who Audits the Machines?
Governments are racing to embed AI into public service. But while algorithms accelerate decisions, they also erode something far more valuable: trust.
Governments are racing to embed AI into public service. But while algorithms accelerate decisions, they also erode something far more valuable: trust.
Mission is the driving force of organizational life. If leaders fail to articulate and bring to life a clear and authentic mission that engages the entire organization, the organization can begin to disassemble into self-defining, inefficient parts.
As ‘Govies’ we’ve all lived through it. The dreaded organizational restructure. Change is painful, but organizational restructures can create a whole new kind of ‘pain’. The unknowns, the rumors, the impacts, and the stress are sometimes off the charts. Having been intimately involved on multiple restructuring efforts, I hope that some of these insights canRead… Read more »
Government agencies can improve their services by creating social stories that help people understand specific scenarios.
Icebreakers at the beginning of meetings can foster a sense of community. This article explains why and explores several options, including “Two Truths and a Lie.”
Agencies seek AI transformation but still use procurement systems designed for the last century. To fix it, embed agility and accountability into every acquisition.
Governments worldwide are chasing digital transformation while trapped in legacy hiring, training, and leadership systems that can’t keep pace with innovation. To lead in the AI era, senior executives must commit to a Digital Workforce Compact that prioritizes agility, learning, and trust over bureaucracy.
What should an organization do about workplace bulllying? A good policy and zero-tolerance approach may be the right place to start.
Continuous improvement in government isn’t about perfection — it’s about progress. Small, consistent changes can lead to better outcomes for everyone.
Governments are racing to adopt AI, yet many struggle. In 2026, success will belong to those who invest in trust, interoperability, and shared purpose.