What is Human-Over-The-Loop?
Most AI discussions focus on 'human in the loop' — the idea that people should review AI outputs before they're used. That's necessary. It's not sufficient.
Human-over-the-loop means something different. Humans design the systems, set the boundaries, define quality standards, and keep the authority to change course. AI handles the repetitive generation work. Qualified people make the judgments that matter.
In assessment contexts, this means assessors make final competency decisions. Experts define what quality looks like. Institutions retain control. The AI operates within boundaries set by humans, not the other way around.
The Questions Everyone Asks about AI
These are the questions I get asked most. Here's how the methodology handles them.
AI Bias
Structured validation at each stage. Independent expert review against quality standards. Our methodology was tested in NZ's largest TVET AI study — personalised assessments achieved universal expert approval.
AI Hallucination
Controlled creativity. The methodology defines when AI can be creative and when it must follow strict structure. Human checkpoints at each stage. You get AI flexibility where it's useful, tight control where accuracy matters.
Privacy & Data
Synthetic personas enable personalisation without exposing real learner data. The AI works with representative fictional learners. Personalisation is real. Privacy risk is zero. Built for data sovereignty compliance.
Accountability
Human-over-the-loop means experts direct and validate all outputs. Clear decision points throughout. You know who's responsible at each stage — and it's never just the AI.
Research-Backed
As Technical Lead for the ConCOVE Tūhura project, I led New Zealand's largest study on AI-generated assessments for vocational education.
The study tested whether AI-generated assessments, to meet national moderation standards and create a baseline for AI assessments, took that feedback and applied the synthetic persona methodology to personalise assessments for specific learner needs. Every single variant passed independent expert review.
Experts called the results 'excellent', 'appropriate', and 'way beyond minimum viable product'. The methodology is documented in a 114-page peer-reviewed report.
Karl Hartley
AI Researcher & Vocational Education Specialist
20+ years in learning and development. I've worked across telecommunications, industry training, and educational technology. My focus now is AI-generated assessments — figuring out what works, what doesn't, and how to keep humans in meaningful control.
I ran the technical side of New Zealand's largest TVET AI research project. The methodology we developed there is what Hotloop.ai is built on.
Based in Kirikiriroa (Hamilton), New Zealand
Research Partnership
George Angus Consulting
I work alongside Stuart Martin at George Angus Consulting on research and consulting projects. Stuart handles policy, quality assurance, and ethical frameworks. I handle the technical AI architecture.
We co-led the ConCOVE research and delivered the ethical framework for AI-generated assessments. For projects that need both technical depth and policy expertise, we work as a team.
georgeangusconsulting.comGet in Touch
Whether you're exploring AI for assessment, planning a research project, or just want to talk through what's possible — I'd welcome the conversation.