Manage AI Risk in Competency-Based Assessment
90 minutes
Online Webinar
Integrated – Intermediate
$95.00
June 11, 2026
5:30 pm AEST
Javier Amaro Castillo
AI is already changing how students produce assessment evidence. The compliance risk for RTOs is not simply plagiarism — it is whether your assessment system can still support authentic evidence, consistent assessor judgement and defensible competency decisions.
This webinar helps your RTO move from informal AI concern to practical assessment controls. You will be able to identify where AI creates evidence gaps, strengthen assessor decision-making, and reduce audit exposure under the Standards for RTOs 2025.
Why AI-Affected Assessment Creates Audit Risk
AI has changed the assessment environment faster than many RTO systems have adapted. Students can now generate written responses, project content, workplace-style reports and reflective answers with minimal evidence of their own capability.
For RTOs, this creates a direct risk to assessment integrity. If the assessment task does not require observable performance, workplace-specific evidence, targeted questioning or robust assessor notes, the evidence may appear complete while still failing the rules of evidence.
That gap can compromise:
Authenticity
Uncertainty about whether the evidence is the student’s own work.
Validity
Tasks that no longer confirm the skills and knowledge required by the unit.
Sufficiency
Evidence that looks adequate but does not prove competence.
Reliability
Inconsistent assessor responses to AI-assisted submissions.
Defensibility
Assessment decisions that cannot be justified during validation or audit.
The issue is not whether AI should be banned or embraced. The strategic issue is whether your RTO can demonstrate that competency judgements remain accurate, consistent and defensible when AI may have influenced the evidence.
What This Webinar Will Help You Achieve
This webinar focuses on practical controls for managing AI risk in competency-based assessment. It is designed to help RTOs protect assessment integrity without creating an unrealistic administrative burden for trainers, assessors or compliance teams.
You will be able to identify where AI creates assessment evidence risk, determine which assessment tasks need redesign, and apply stronger evidence controls across the assessment lifecycle.
This will enable your RTO to strengthen:
- assessment task design for AI-affected evidence environments
- assessor guidance for authenticity, sufficiency and judgement consistency
- student instructions, declarations and evidence submission rules
- validation questions that detect AI-related evidence weaknesses
- QMS controls that link assessment risk, policy, validation and continuous improvement
The outcome is a more controlled assessment system where AI is treated as a manageable compliance risk, not a hidden vulnerability waiting to surface through validation, complaints, certification review or ASQA audit.
What You Will Take Back to Your RTO
This session is designed to produce practical implementation value. You will leave with a clear view of what needs to change in your assessment system and how to prioritise action across tools, procedures, validation and assessor practice.
AI Assessment Risk Checklist
A practical checklist to identify where assessment tasks are exposed to AI-generated responses, weak authenticity controls or insufficient evidence requirements.
Assessment Task Vulnerability Review Tool
A review model to assess whether written tasks, projects, portfolios, case studies and reflective activities still generate valid and sufficient evidence.
Evidence Authenticity Decision Framework
A structured approach to help assessors decide when additional questioning, observation, workplace verification or triangulation is required.
Assessor Questioning Prompt Set
Targeted prompts to test student understanding, application, decision-making and workplace relevance where AI-assisted evidence may be present.
AI Use Disclosure and Student Evidence Guidance
Practical guidance to support clearer student instructions, declaration requirements and boundaries for acceptable AI use.
Validation Prompts for AI-Affected Assessment Samples
Questions validation panels can use to test whether tools and judgements remain valid, sufficient, authentic, current and reliable.
30–90 Day Implementation Action Plan
A prioritised action model to help your RTO move from awareness to controlled implementation across high-risk assessment areas.
These tools are intended to support immediate action: review vulnerable assessments first, update assessor guidance, strengthen evidence requirements, and document continuous improvement before the issue becomes an audit finding.
Who This Webinar Is For
This webinar is for RTO professionals who are accountable for the integrity of assessment systems and the defensibility of competency decisions. It is particularly relevant where assessment includes written responses, projects, portfolios, online submissions or workplace-style evidence.
Compliance and Quality Managers
Will be able to identify AI-related evidence gaps, strengthen validation prompts, and improve audit defensibility.
Training Managers
Will be able to support more consistent assessor practice and reduce variation in how AI-affected evidence is judged.
Instructional Designers and Learning Developers
Will be able to redesign vulnerable assessment tasks so they generate stronger, more authentic evidence.
Lead Assessors and Senior Trainers
Will be able to guide assessors in making justified decisions where authenticity or sufficiency is uncertain.
Secondary Audience
RTO CEOs and senior leaders will gain a clearer governance view of AI-related assessment risk and the controls required to protect certification integrity.
Trainers, assessors, validation panel members and QMS owners will also benefit from the practical strategies for evidence review, student instructions, assessor judgement and continuous improvement.
How the Session Is Delivered
The session is practical, structured and implementation-focused. It does not treat AI as a trend or abstract ethical issue. It treats AI as an operational risk that must be controlled through assessment design, evidence rules, assessor capability and quality assurance.
You will work through realistic RTO scenarios showing how AI can create evidence gaps and how those gaps can be controlled before they affect validation outcomes or audit findings.
The session includes:
live facilitation, real assessment-risk examples, practical templates, guided analysis of vulnerable assessment methods and Q&A focused on RTO operating contexts.
The emphasis is on decisions your RTO can make immediately: which tasks to review first, what evidence controls to strengthen, how to guide assessors, and how to document improvement through your QMS.
Implementation Model: Learning → Application → Impact
This webinar is designed to support transfer into practice. The focus is not simply understanding AI, but implementing controls that protect assessment defensibility.
Learning
You will be able to recognise how AI affects authenticity, validity, sufficiency, reliability and assessor judgement in competency-based assessment.
Application
Within 30–90 days, your RTO can review high-risk assessment tasks, update evidence instructions, strengthen assessor questioning, refine validation prompts and embed AI controls into relevant assessment procedures.
Impact
This will enable your RTO to reduce evidence gaps, improve judgement consistency, strengthen validation outcomes and increase audit defensibility under the Standards for RTOs 2025.
Why This Matters Under the 2025 Standards
Under the Standards for RTOs 2025, RTOs need assessment systems that are fit-for-purpose, aligned to the training product and capable of supporting accurate competency judgements. AI increases the risk that assessment evidence may look complete without being sufficiently authentic, valid or reliable.
That means AI risk cannot be managed only through a general policy statement. It must be addressed where assessment decisions are actually made.
Your RTO may need to review:
- assessment task instructions and conditions
- evidence requirements and submission rules
- assessor judgement guidance
- authenticity verification methods
- validation and moderation tools
- student declarations and acceptable-use guidance
- QMS procedures and continuous improvement records
Waiting until validation or audit identifies the gap is a reactive strategy. A stronger approach is to identify AI-related vulnerabilities now and build controls that make assessment decisions easier to justify.
Protect Assessment Integrity Before AI Becomes an Audit Finding
AI is already influencing assessment evidence. The question is whether your RTO can prove that competency decisions remain authentic, sufficient, consistent and defensible.
Register now to strengthen your assessment controls, close evidence gaps and reduce AI-related audit exposure under the Standards for RTOs 2025.
Register Now