The Invisible Governance Layer: Why Every AI Policy Fails Without It
AI policies focus on models, ethics, privacy, but many neglect the invisible governance layer that operationalizes those policies.
AI policies focus on models, ethics, privacy, but many neglect the invisible governance layer that operationalizes those policies.
AI can draft your work — but it won’t defend it. Discover why polished ≠ accurate, and why human oversight still rules the room.
AI pilots may seem affordable, but production-scale inference brings spiraling costs and energy demands. Make AI both scalable and responsible.
Learn how to recognize triggers, pause before reacting, and strengthen emotional agility even in high-pressure, chaotic situations.
Agencies provide a lot of services. Could a superapp make it easier for citizens to use the services from various agencies? Learn more about this new platform model.
Sometimes, terminology matters. The term “AI agents” can be problematic in government. Beware of connotations when speaking of agentic services.
Local leaders can strengthen trust and engagement by adopting a digital-first communications strategy that makes information easy to find and accessible to all. By meeting residents’ expectations for clarity and transparency online, governments can counter misinformation and build lasting public confidence.
What do you want to change while you are waiting for the shutdown to end? This could be a good time for self-reflection.
AI is increasingly embedded in decisions that affect citizens’ benefits, permits, and rights, but few agencies have credible systems for appeal or correction. Building algorithmic redress mechanisms isn’t optional; it’s the backbone of public trust and due process in the AI era.
Autistic employees have much to offer the organizations they work for, but their talents and challenges often are misunderstood. Read on to learn about the obstacles that autistic workers face and how to treat these employees with sensitivity and fairness.