Guidelines on the Responsible Use of Generative Artificial Intelligence in Teaching, Learning, Feedback and Assessment in TU Dublin

Sep 2, 2026

These TU Dublin guidelines set out responsible use of generative artificial intelligence in teaching, learning, feedback, and assessment, framing the policy as a living document reviewed annually. Key definitions cover AI, GenAI, hallucinations, and personal data categories, including sensitive personal data. Ethical considerations emphasize fairness, transparency, accountability, privacy respect, inclusiveness, and reliability. The document also presents an Artificial Intelligence Assessment Scale (AIAS) describing five levels from no AI to full AI, supporting academic integrity through transparent, level-appropriate student use.

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Title

Scope

Definitions

Ethical Considerations

Use of Artificial Intelligence Assessment Scale (AIAS)

Principles Underpinning Use of AI and GenAI in TU Dublin

Academic Integrity Policy Group Approved by AQAEC 13th May 2025 Guidelines on the Responsible use of Generative Artificial Intelligence in Teaching, Learning, Feedback and Assessment in TU Dublin April 2025 Title Guidelines on the responsible use of Generative AI in Teaching, Learning, Feedback and Assessment in TU Dublin Scope The use of generative artificial intelligence systems for teaching, learning, feedback, and assessment. This statement is a living document that will be reviewed annually and updated as Artificial Intelligence (AI) and Generative Artificial Intelligence (GenAI) technologies evolve and as other related University policies are published Definitions Artificial Intelligence (AI): Artificial Intelligence (hereafter referred to as “AI”) is the capability of computer systems or algorithms to imitate intelligent human behavior. It involves the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with human intelligence, such as reasoning, learning, problem-solving, and decision-making. Generative AI: Generative AI (hereafter referred to as “GenAI”) is a category of artificial intelligence that can create new content such as text, images, audio, and code. Generative AI Hallucination: Hallucinations in generative AI are when the generative AI tools generate content that is factually incorrect, such as creating fictitious historical figures or generating links that are nonexistent. Personal Data: Information which relates to a living individual who is identifiable either directly from the data itself or from the data in conjunction with other information held by TU Dublin. Sensitive Personal Data: Sensitive Personal Data (or Special Categories of Personal Data) relates to specific categories of data which are defined as data relating to a person’s racial origin, political opinions, trade union membership, religious or other beliefs, physical or mental health, sexual life, criminal convictions, or the alleged commission of an offence. Ethical Considerations Users of GenAI must consider the ethical and legal implications when using GenAI tools. They should be aware that GenAI systems can generate harmful, misleading, biased, or discriminatory content. GenAI must not be used to promote discrimination, bias, or harm. The AI principles below can guide the use of GenAI in TU Dublin: Fairness: GenAI should not be used to create inequitable or unfair conditions for users and participants. Transparency: Clearly disclose how GenAI is used, especially regarding university data, and inform users when and why it is employed. Accountability: Users of GenAI are responsible for its ethical use and any harm caused. Respect for privacy: Users of GenAI should not collect, store, or share personal data without consent, including generating likenesses of others. Inclusiveness: GenAI should promote equality and fight discrimination. Reliability: GenAI outputs should be accurate and reliable. These are expanded upon in Table 1. Table 1: Ethical Principles on the use of Generative Artificial Intelligence Use of Artificial Intelligence Assessment Scale (AIAS) TU Dublin recommends the use of the Artificial Intelligence Assessment Scale in the design of assessments and for communication with students about assessments. The Artificial intelligence Assessment Scale (Perkins, Furze, Roe, MacVaugh, 2024) is one of several traffic light systems that have been adopted by universities to guide and inform lecturers and students in the use of Generative Artificial Intelligence in assessments. In designing an assessment, a lecturer will determine which point in the scale best describes the ways in which Generative Artificial Intelligence can be used by students for the completion of this assessment. Students are then informed of this in their assessment brief. Rather than strictly enforcing a single set of rules for all assessments, the Artificial Intelligence Assessment Scale provides the flexibility f

FAQs

What is the scope of these TU Dublin guidelines on generative AI?

They apply to the use of generative artificial intelligence systems for teaching, learning, feedback, and assessment.

What does “Generative AI Hallucination” mean in this policy?

It refers to factually incorrect content produced by generative AI, such as fictitious figures or nonexistent links.

How does the Artificial Intelligence Assessment Scale (AIAS) structure allowed AI use?

AIAS defines five levels, from Level 1 (no AI) through Level 5 (full AI as a co-pilot), with specific requirements such as idea generation only, editing-only constraints, or citation of AI-created content.

Sep 2, 2026

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