A practitioner's case for why governing the human-AI partnership is the defining leadership challenge of 2026 During my studies at MIT, Professor Malone introduced a concept that reframed how I saw the relationship between humans and technology. Collective Intelligence: humans and technology working together to produce results that neither could achieve alone.¹ The assignment asked us to research where Collective Intelligence (CI) could be meaningfully applie... Read full articles

    Universities Don’t Need Another AI Policy, They Need Collective Intelligence Governance Across regions, national AI ambitions are accelerating. For example, Malaysia’s National AI Roadmap emphasizes responsible development and capability building at scale. The UAE’s National AI Strategy 2031 positions artificial intelligence as a long-term competitiveness driver and cross-sector transformation catalyst. Switzerland, while strongly innov... Read full articles

    AI Is Already Grading Us — Who’s Governing It? Artificial intelligence is no longer a future topic for education. It is already embedded in how institutions teach, assess, recruit, research, and manage operations. Yet many universities and colleges are approaching AI primarily as:   •  productivity tool   •  teaching aid   •  skills topic   •  technology investment What&rs... Read full articles

   Why AI Governance Needs Supply Chain Thinkers AI governance is becoming a global priority, but most discussions are happening without the people who understand the real-world consequences of system failures, that is: Supply chain professionals. After more than 2 decades working across operations, risks, disruptions and human systems, one truth has never changed: Good governance isn’t about rules. It’s about protecting people. AI simpl... Read full articles