Category: AI Risks & Governance
-
Governance Analysis #2: How is Digital Sovereignty Measured Beyond Physical Location?
Ontario’s Data Centre Playbook treats digital sovereignty as a strategic pillar. But if sovereignty is only assessed by where servers sit, we risk confusing residency with control. Anchored in Pillar 2, “Protect Data Security and Digital Sovereignty,” it asks whether projects align with policies on digital sovereignty, safeguard security and cybersecurity objectives, preferably be Canadian-owned… Read.
-
Cyber-pandemic: What’s Not Being Discussed in Policy Circles
The Cyber Threat Landscape is missing its most critical variable. Who’s deciding who’s safe, who isn’t? When the WEF has already completed a cyber-pandemic scenario as a war-gamed simulation, why has it not made it to the insight reports or threat trend lists? It’s not even mentioned as a footnote. Two years in a row,… Read.
-
AI Governance is an Illusion Without Climate Governance
At What Point Does AI Infrastructure Expansion Become a Climate Crisis? By 2030, AI data centers will consume 945 terawatt-hours annually, generating 220 million tons of CO₂. This is equivalent to Japan’s annual electricity requirement, and to the entire aviation industry’s carbon footprint. So why has AI infrastructure almost completely evaded climate governance. An oversight?… Read.
-
Cyber Crises: AI Risks, Black Box Vulnerabilities & Global Readiness
The cyber crises is upon us. But Are we ready? Global cybersecurity remains fragile despite decades of warnings. In 2010, Richard Clarke’s Cyber War mapped cyberspace’s vulnerabilities and defences; by 2021, Eric Cole’s The Cyber Crisis declared everyone a target in an interconnected world. Exactly how industries and affluent populations have routinely dismissed such alarms, AI risks around biases,… Read.

