Responsible AI in VET

How our website aligns with ASQA guidance on AI use in VET.

Auto Assessments Pty Ltd is designed to support Australian RTOs with structured, assessor-led review workflows. This page explains how our website, product positioning, and service settings align with ASQA guidance on the responsible use of artificial intelligence in vocational education and training.

This page describes alignment with ASQA guidance only. It does not claim ASQA approval, endorsement, certification, or regulatory status.

Principle 1

AI use is supported by strong governance that ensures it does not undermine the quality or integrity of VET.

Our website positions Auto Assessments Pty Ltd as a structured support tool for RTO review activity, not as a shortcut around training, assessment, validation, or compliance obligations. Product pages describe practical use cases, boundaries, and intended workflows so providers can evaluate whether AI-assisted review fits their governance settings before adopting it.

This aligns with a governance-first approach by setting expectations early, defining intended use, and avoiding claims that AI replaces established VET quality controls.

Principle 2

Human oversight and accountability is maintained in all AI supported activities, ensuring that decisions affecting students remain the responsibility of qualified trainers, assessors and staff.

Across the website, our copy consistently states that final decisions remain with qualified trainers, assessors, and compliance teams. Product descriptions present reports as structured information for human review rather than automated final outcomes, and our terms reinforce that outputs are not a substitute for assessor judgement, moderation, validation, or compliance advice.

This aligns with ASQA's emphasis on active human review, professional judgement, and clear accountability for learner-impacting decisions.

Principle 3

AI systems and tools manage information securely and in accordance with existing privacy, data protection and record keeping obligations.

Our public privacy and terms pages explain how enquiry details, uploaded materials, and service data are handled, including security safeguards, record retention, service-provider involvement, and AI-assisted processing boundaries. The site also states that customer and student materials are not used to train AI models.

This aligns with secure information handling by being transparent about privacy, security, data use, and the responsibilities that remain with customers when sharing materials.

Principle 4

AI use supports and enhances student equity, inclusivity, accessibility and wellbeing.

Our website describes Auto Assessments Pty Ltd as a way to make review activity more structured and consistent while keeping human judgement in control. That positioning supports fairer workflows by helping teams surface missing evidence, weak coverage, and follow-up points in a more repeatable way, including across different submission types such as digital and handwritten assessments.

This aligns with equitable use by supporting consistent review processes while leaving room for staff to consider context, learner needs, accessibility, and appropriate adjustments.

Principle 5

AI use aligns with training product requirements, industry expectations and the needs of the relevant student cohort.

Our website presents AI-assisted review in direct connection with unit requirements, submitted evidence, mapping, grading guidance, and assessor follow-up rather than as generic AI automation. The product language is tailored to Australian RTO workflows and emphasizes fit-for-purpose use within the context of the relevant training product and learner cohort.

This aligns with ASQA's fit-for-purpose principle by keeping AI use anchored to assessment requirements, provider context, and the practical needs of the learners being supported.

What alignment looks like on this site

Clear safeguards, clear limits, clear human control.

Product copy frames AI as support for review activity, not a replacement for assessor decisions.

Privacy and terms content explains AI-assisted processing, data handling, and service boundaries.

Assessment outputs are described as structured findings to help staff investigate, validate, and decide.

Marketing copy avoids claims of ASQA approval or certification and instead focuses on alignment with guidance.