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2025\n\u000f\u0004\nTitle\nGuidelines on the responsible use of Generative AI in Teaching, Learning, Feedback and Assessment in TU Dublin\nScope\nThe use of generative artificial intelligence systems for teaching, learning, feedback, and assessment.\nThis 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\nDefinitions\nArtificial 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.\nGenerative 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.\nGenerative 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.\nPersonal 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.\nSensitive 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.\nEthical Considerations\nUsers 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:\nFairness: GenAI should not be used to create inequitable or unfair conditions for users and participants.\nTransparency: Clearly disclose how GenAI is used, especially regarding university data, and inform users when and why it is employed.\nAccountability: Users of GenAI are responsible for its ethical use and any harm caused.\nRespect for privacy: Users of GenAI should not collect, store, or share personal data without consent, including generating likenesses of others.\nInclusiveness: GenAI should promote equality and fight discrimination.\nReliability: GenAI outputs should be accurate and reliable.\nThese are expanded upon in Table 1.\nTable 1: Ethical Principles on the use of Generative Artificial Intelligence\nUse of Artificial Intelligence Assessment Scale (AIAS)\nTU Dublin recommends the use of the Artificial Intelligence Assessment Scale in the design of assessments and for communication with students about assessments.\nThe 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","cbCaiu6sIyHbcrhR","https://ap.wps.com/l/cbCaiu6sIyHbcrhR","docx",893461,8,"English","# Title\n## Scope\n## Definitions\n## Ethical Considerations\n## Use of Artificial Intelligence Assessment Scale (AIAS)\n## Principles Underpinning Use of AI and GenAI in TU Dublin","[{\"question\":\"What is the scope of these TU Dublin guidelines on generative AI?\",\"answer\":\"They apply to the use of generative artificial intelligence systems for teaching, learning, feedback, and assessment.\"},{\"question\":\"What does “Generative AI Hallucination” mean in this policy?\",\"answer\":\"It refers to factually incorrect content produced by generative AI, such as fictitious figures or nonexistent links.\"},{\"question\":\"How does the Artificial Intelligence Assessment Scale (AIAS) structure allowed AI use?\",\"answer\":\"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.\"}]","Guidelines on the Responsible Use of Generative Artificial Intelligence in Teaching, Learning, Feedback and Assessment in TU Dublin | DOCX",1788325987]