Melbourne, Australia

Monash University

Monash University is listed as QS 2026 rank =36. Monash University has 9 source-backed AI policy claim records from 9 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Citation-ready overview

v1 public contract

Monash University is listed as QS 2026 rank =36. Monash University has 9 source-backed AI policy claim records from 9 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Reviewed claims9Candidate claims0Official sources9

Candidate claims are source-backed records pending review. They are not final policy conclusions and are not legal or academic integrity advice.

Reviewed claims

9 reviewed public claim

Academic Integrity

When allowed or required to use AI in an assessment, students must follow all instructions and restrictions on its use, clearly document the type of AI used and how it contributed, and provide written acknowledgment of the use of AI and its extent.

Review: Agent reviewedConfidence98%

Normalized value: ai_acknowledgement_requirements

Original evidence

Evidence 1
Whenever you are allowed or required to use AI in an assessment, you must also: Follow all instructions and restrictions on its use; Clearly document the type of AI used and how it contributed to the assessment; Provide written acknowledgment of the use of AI and its extent; and When necessary, cite and reference using the closest source types in the style being used.

Teaching

Chief Examiners have overarching responsibility for designing and setting assessment conditions, including communicating and verifying the responsible use of AI within assessment tasks.

Review: Agent reviewedConfidence97%

Normalized value: chief_examiner_responsible_for_ai_assessment_conditions

Original evidence

Evidence 1
Chief Examiners have overarching responsibility for designing and setting assessment conditions, including communicating and verifying the responsible use of AI within assessment tasks.

Research

Thesis examiners are not permitted to use Generative AI technologies (such as ChatGPT) during the thesis examination process to support, prepare, or write their examiners' report.

Review: Agent reviewedConfidence97%

Normalized value: examiners_prohibited_from_genai_in_examination

Original evidence

Evidence 1
To preserve the confidentiality of thesis examination, examiners are not permitted to use Generative AI technologies (such as ChatGPT) during the thesis examination process to support, prepare or write their examiners' report.

Academic Integrity

Using AI in a way not permitted in an assessment, or failing to acknowledge its use correctly, may breach assessment conditions under the Student Academic Integrity Procedure.

Review: Agent reviewedConfidence96%

Normalized value: unauthorized_ai_use_breach_of_integrity

Original evidence

Evidence 1
It is important that you follow assessment instructions regarding the use of AI. If you don't, you may breach assessment conditions (Student Academic Integrity Procedure, 2022). This occurs when you use AI in a way that is not permitted in an assessment, or fail to acknowledge its use correctly.

Privacy

Students should not upload personal, sensitive, copyrighted, or licensed material to AI tools, as many AI tools cannot guarantee privacy, strong data security, or the protection of intellectual property.

Review: Agent reviewedConfidence96%

Normalized value: do_not_upload_sensitive_data_to_ai

Original evidence

Evidence 1
When uploading personal, sensitive, copyrighted, or licensed material: Many AI tools cannot guarantee privacy, strong data security, or the protection of intellectual property (IP).

Privacy

Monash enterprise systems such as Copilot have enterprise data protections identified under the green shield in Monash Copilot. Students should use their Monash email address to access Microsoft Copilot which provides data protection for Monash.

Review: Agent reviewedConfidence95%

Normalized value: copilot_enterprise_data_protection

Original evidence

Evidence 1
Monash enterprise systems such as Copilot have enterprise data protections identified under the green shield in Monash Copilot. To be safe, you can use your Monash email address to access Microsoft Copilot which provides data protection for Monash.

Ai Tool Treatment

Monash's AI responsible use principles include community benefit, education and research excellence, fairness, transparency, integrity and accountability, and data security and privacy.

Review: Agent reviewedConfidence95%

Normalized value: monash_ai_responsible_use_principles

Original evidence

Evidence 1
Monash AI responsible use principles: Community benefit, education and research excellence; Fairness; Transparency; Integrity and accountability; Data security and privacy.

Teaching

Responsible use of AI should be explainable in terms of what AI was used, which AI tools assisted in producing the work, how many versions and drafts were produced, and how outputs were adapted.

Review: Agent reviewedConfidence94%

Normalized value: ai_use_must_be_explainable

Original evidence

Evidence 1
Responsible use of AI should be explainable in terms of: What AI was used; Which AI tools assisted in producing the work, how many versions and drafts were produced; How outputs were adapted.

Ai Tool Treatment

Microsoft Copilot is a generative AI program that has capabilities to generate text and images in response to user prompts. Monash recommends logging in using Monash credentials to ensure data is more protected.

Review: Agent reviewedConfidence90%

Normalized value: copilot_capabilities_and_login_recommendation

Original evidence

Evidence 1
Microsoft Copilot is a generative artificial intelligence (GenAI) program that has capabilities to generate text and images in response to user prompts. Make sure to log in using your Monash credentials before accessing Copilot. This ensures that your data is more protected.

Candidate claims

0 machine or needs-review claim

Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.

Official sources

9 source attribution

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