Student Artificial Intelligence (AI) Usage Policy

Acceptable/Unacceptable Use of AI for Students

Acceptable Use of AI

Strategix Training Group acknowledges that AI is widely used and accepted in a rapidly progressing technological environment. It is with this acknowledgement that Strategix outlines the following examples of use of AI by students as 'acceptable use of AI':

• The use of AI as a learning tool, e.g. for research summaries, strengthening of writing and idea generation

• The use of AI for research purposes, e.g. data collection, sorting and analysis, and locating credible sources for referencing.

Unacceptable Use of AI (AI Misuse)

While Strategix acknowledges students can benefit from the use of AI, which is ethical and thoughtful, the following examples outline what is defined by Strategix as 'unacceptable use of AI':

• Using AI-generated responses verbatim (plagiarising), i.e. exactly as it was written, and without the use of critical thinking, paraphrasing or referencing

• Using AI to strengthen or produce hateful or discriminatory content, i.e. content based on a prompt that is backed by prejudice or discrimination:

  • Even if content or research has been generated by AI, a machine cannot be held liable for anything; therefore, the user of AI will be held accountable for all AI-produced content.

• Providing AI with private or confidential information, including but not limited to:

  • Names

  • Locations

  • Identifying details, e.g. student USI

  • Images

  • Video

  • Confidential data

  • Organisational information not publicly available, including:

    • Data/information provided to you by Strategix Training Group that is private to Strategix and only provided to you on a limited basis, and to facilitate your learning experience

    • Information students may obtain during Vocational Placement (VP), e.g. client details, internal processes, etc.

• Neglecting to fact-check or verify research, information or facts generated by AI to facilitate learning:

  • AI is still in its early stages and works by pulling information from various sources to generate a response, much of which may be outdated, inaccurate or uncredible. It is the responsibility of the student when using AI for learning, to practice due diligence to ensure the information generated is true, current and credible. Therefore, AI should only ever be used as a starting point, and genuine, verifiable sources should always be used to validate your research and learning.

• Using AI to assist with knowledge-based questions, e.g. short-answer questions or questions that require knowledge-based analysis

  • If the question is research-based, AI can be used according to our Acceptable Use guidelines.

The misuse of AI, depending on the severity, may result in consequences, including but not limited to:

• Re-submission of the affected assessments

• Formal warnings

• Further disciplinary action, e.g. removal from a course.

Refer to ‘Academic Misconduct’ for further explanation.

Referencing Guidelines

If AI has been used to support learning or help with research, students must provide a reference. Although Strategix currently uses Harvard style referencing, Harvard does not yet have a referencing style that is specific to AI. In the interim, Strategix recommends the APA 7th referencing style for appropriate referencing of AI. For example:

• In text: (Open AI, 2025) or Open AI (2025)

• End-of-text: OpenAI. (2025). ChatGPT (September 24 version) [Large language model]. https://chatgpt.com/

Confidential Information

When sharing information with AI, students must decide, using critical thinking, whether the information being shared breaches privacy, confidentiality or disclosure laws or requirements.

The following system can be used to guide this discernment:

• Low Risk: Publicly available information is considered low risk to share with AI, as AI will already have access to this information, e.g. public statistics, published research papers, generic feedback, etc.

• Medium Risk: This includes data that requires caution or potential mitigation and may have limited consequences if the information is leaked, e.g. job titles, workplace information, internal communications (such as emails or meeting notes), etc.

• High Risk: Confidential data should never be shared with AI, including personally identifiable and sensitive information, e.g. full names, dates of birth, personal addresses, bank accounts, credit card data, financial statements, legal documents, health records, passwords, etc.

It is essential to assess information before sharing it with AI. Anything considered High Risk should never be shared with AI, unless it is adjusted to remove all identifiable details. 

Academic Integrity

Strategix Training Group is a Registered Training Organisation (RTO), and as such is responsible for delivering nationally recognised training to students across Australia. This training, if completed, results in a qualification. The purpose of attaining training and qualifications in this context is to:

• Further individual understanding and knowledge

• Gain the necessary skills to carry out specialised roles in various contexts

• Access career and work opportunities.

Having a qualification allows individuals to prove to organisations, clients, customers or others that they are qualified to do the role required in the framework of that qualification. If an individual achieves a qualification in an unethical manner (e.g. by using AI to generate assessment responses, plagiarising), it jeopardises their job, the company they work for and/or clients and customers.

This is particularly important to note regarding qualifications in the provision of care to others, e.g. Nursing, Individual Support, Health Services Assistance, Youth Work and Community Services. Not being fully competent or qualified in these roles puts the health and safety of yourself and others at great risk. Therefore, academic misconduct in these qualifications especially is not tolerated.

Students at Strategix are encouraged to reflect on the reason they are studying and the future they envision after studying. By fully immersing in the learning experience and actively applying critical and creative thinking during all assessment activities, students ensure they will flourish in future endeavours and work roles.

Academic Misconduct

Academic misconduct is defined by Strategix as including, but not limited to, cheating, plagiarism, collusion and any other conduct by which a student:

• Seeks to gain, for themselves or any other person, any academic advantage or advancement to which they are not entitled

• Improperly disadvantages any other student.

Instances of academic misconduct and resulting consequences are further outlined in the Student Misconduct Policy and Procedure.

Support from Trainers

Trainers at Strategix will be transparent to students about the organisation's expectations regarding the use of AI at the beginning of study and in relation to all assessment tasks for each unit of study.

Strategix trainers are extensively trained and qualified in the area they are training; therefore, a student's trainer is the best person to seek clarification about AI expectations in the classroom.

Students at Strategix are encouraged to seek advice and/or assistance from their trainers if they are at all unsure about the appropriate or inappropriate use of AI specific to their area of study.

Policy Review

This policy is reviewed by Strategix Training Group every 6 months to ensure it remains current and reflects the rapidly changing landscape in technologies and AI capabilities, as well as the surrounding laws that are applicable.

• Student Code of Conduct (located in Handbooks)

• Student Misconduct Policy and Procedure.