When an off-color joke lands with a thud and every eye turns to you, knowing when to break the “praise in public, correct in private” rule can save your team’s trust and your organization’s liability. Read on for moments that demand immediate, on-the-spot correction and how to steady the room without making things worse.
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.
How should you work with an autistic colleague? Accommodating their work and communication styles can go a long way toward treating them with dignity.
Supporting former colleagues who were bullied in the workplace may be difficult, but it’s important. Read on for tips on overcoming the awkwardness.
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.
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.
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.
AI is embedded in government operations, and agencies need a proactive approach to data governance in order to mitigate risk — and foster trust.
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.
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.