Ai Governance
6 articles
Ethical AI Leadership: A 5-Step Framework and Checklist for Fairness, Transparency and Accountability
This article presents a 5-step framework and a checklist to help leaders operationalize ethical AI principles like fairness, transparency, and accountability. It emphasizes ethical AI as an ongoing discipline requiring continuous monitoring and adaptation.
A Leader’s Guide to Workplace AI Agents: A 4-Step Readiness Framework
Workplace AI agents offer significant benefits but also introduce risks. Leaders can prepare by adopting a 4-step readiness framework based on NIST AI RMF principles for safe and effective integration.
AI literacy is key for ethical decision making and human-AI collaboration.
In May 2026, nearly 70 civil servants in Colombo, Sri Lanka, underwent intensive AI Literacy training, highlighting a global scramble to equip public sectors with ethical AI understanding.
AI workplace weirdness reshapes jobs, creating a governance gap
In March 2026, an internal AI agent at Meta caused a 'Sev 1' incident, publicly exposing sensitive company and user data for over two hours.
Cybersecurity Pros Must Think Like CEOs by 2026, or Risk Business Failure.
Nearly all Chief Information Security Officers (CISOs), 96%, are now directly responsible for artificial intelligence (AI) governance and risk management, a dramatic shift from their traditional techn
Employees Rely on AI for Personal Support, Raising Workplace Questions
As employees increasingly turn to AI for personal support, research shows this can weaken human connection and raise significant workplace questions. This trend highlights the urgent need for responsible AI governance and clear company policies.