Tag: AI governance
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The Human Operating Envelope
AI can raise attainable output faster than people and organisations can select, integrate and govern it. SIGNAL 006 examines the Human Operating Envelope—and why oversight, portfolio admission, capability conversion and recovery now matter.
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What is The Human Operating Envelope?
AI can accelerate production faster than people can govern and integrate the work. The Human Operating Envelope names the new constraint.
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After the Singularity, Make the Bed
The singularity may be less useful as a date than as a change in the conditions under which human capability is formed, demonstrated and governed.
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Who Participates in an Intelligence Economy, and on What Terms?
Participation in an intelligence economy depends on who can access AI capability, shape governance, build with it, and protect cultural, educational, and economic agency. This post examines intelligence as infrastructure and asks what terms of participation communities should insist on.
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A Way In: AI Tertiary Education Aotearoa
AI has already entered tertiary education. The tools are accessible, but the entry point isn’t obvious. This post introduces a set of learning collections developed through AI for Good (Ako AI Tertiary) as a grounded way in — shaped by values, not added to them.
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Governing AI Without Losing Authority
Effective AI governance isn’t about tighter control. It’s about building shared judgment, confidence, and professional capability so authority is retained rather than eroded.
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The Capability Gap: Why AI Adoption Isn’t the Same as AI Readiness in Education
AI adoption has moved faster than human capability. The result isn’t failure — it’s instability. The real work now is building professional judgment, literacy, and confidence so governance can take shape.
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After the Reaction Phase: AI Governance in Education
The AI reaction phase is over. The real work is no AI governance in education, judgment, and professional capability — not panic, hype, or policy alone.
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Kaitiaki in the Digital Age — Strengthening Indigenous AI, Knowledge & Climate Decision-Making at WIPCE 2025
A kaupapa Māori exploration of Indigenous AI and climate decision-making, based on our WIPCE 2025 presentation on Kaitiakitanga in the Digital Age.
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Balancing AI Regulation in Education with Innovation: 6 Insights from Comparative Research
Explore the balance between AI regulation in education and innovation in education. Compare key findings from educational research and the OECD report on ethical AI governance.