The Drawback of Using AI to Send Work E-Mails
Many people use artificial intelligence to help them compose work emails. AI may streamline that professional task, but there are drawbacks to relying on AI-generated messages.
Digital Government
Using AI to Write Your Work E-Mails
Artificial intelligence (AI) can be a significant time-saver at work, but there are drawbacks when using the technology to help write work-related emails.
The Invisible Constraint on AI: Why Infrastructure, not Innovation, Will Define Government Advantage
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.
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.
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.
More Manageable Transportation With Agencywide Rideshare
In this video interview, Nick Brown with Uber discusses the public sector’s status-quo approach to providing transportation services and the benefits of a modern alternative.
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.
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.
Empower Employees Through AI-driven Content Management
In this video interview, Laserfiche’s Andy MacIsaac discusses how AI can expand the impact and effectiveness of content management initiatives.