Research & Standards

Grounded in current evidence, trustworthy AI practice and human-centred education.

AliTechGrid uses current research and standards as design inputs, while validating each recommendation against the customer’s actual context.

OECD 2026

Intentional GenAI in education

Education AI should support genuine learning, not merely improve task output. Pedagogical purpose and human relationships remain central.

UNESCO

AI competency for teachers

Human-centred mindset, ethics, AI foundations/applications, AI pedagogy and professional learning provide a useful capability structure.

NIST AI RMF

Trustworthy AI risk management

Govern, map, measure and manage AI risk across the lifecycle, including generative-AI-specific risks.

Canada 2026

Sovereign compute direction

Canadian policy emphasizes compute capacity, sovereignty, governance, residency, operational control, scalability and collaboration.

AliTechGrid

Decision rule

Use-case first. Model second. Proof before platform. Human authority by design.

Evidence

Measure before scaling

Define baseline, outcome metrics, adoption, risk and decision gates before expanding an AI initiative.

Research frameworks inform design; they do not automatically make a specific recommendation correct. AliTechGrid treats local evidence, institutional policy, legal requirements, stakeholder needs and implementation constraints as part of the decision.