Aston University has defined AI policies across 11 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. The university prohibits the use of AI tools in coursework unless explicitly permitted by instructors. Students are required to disclose and attribute AI-generated content in their academic work. The university employs detection and enforcement mechanisms for unauthorized AI use. Research-related AI policies address manuscript preparation, data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
### Artificial Intelligence for study and assessment
Follow this online course, designed by Aston University students and staff, to increase your understanding of the expectations related to academic integrity and the ethical use of Artificial Intelligence (AI) in assessment. Clarifying the University's stance on the use of Generative AI in study and assessment you will:
* Get tips on constructive and ethical use
* learning about risks and limitations
* find out where to look for information about acknowledging AI correctly
* find out how to get support when needed
### Artificial Intelligence for study and assessment
Follow this online course, designed by Aston University students and staff, to increase your understanding of the expectations related to academic integrity and the ethical use of Artificial Intelligence (AI) in assessment. Clarifying the University's stance on the use of Generative AI in study and assessment you will:
* Get tips on constructive and ethical use
* learning about risks and limitations
* find out where to look for information about acknowledging AI correctly
* find out how to get support when needed
### Artificial Intelligence for study and assessment
Follow this online course, designed by Aston University students and staff, to increase your understanding of the expectations related to academic integrity and the ethical use of Artificial Intelligence (AI) in assessment. Clarifying the University's stance on the use of Generative AI in study and assessment you will:
* Get tips on constructive and ethical use
* learning about risks and limitations
* find out where to look for information about acknowledging AI correctly
* find out how to get support when needed
• AI-related projects, including those underpinning research outputs (subject to separate
Research Governance provisions).
This Policy does not apply to research outputs governed by external funder or discipline-specific codes of practice.
AI systems are classified by potential impact and data sensitivity:
Category Description Examples
Low Risk Non-sensitive tasks, minimal impact Spell-check, generic content
generation
Medium
Risk Limited transparency; non-critical data Chatbots, non-sensitive image/video generation
High Risk Impacts health, safety, education,
employment; sensitive data
Admissions scoring, medical triage
systems
Unacceptable Activities posing fundamental rights
violations
Un-targeted personal data
scraping; deepfake abuse
• Assessments: All AI projects require an AI Risk Assessment; Medium/High
risk mandates Data Privacy Impact Assessment and Ethics review. RAAC may
put in place project requirements based on the risk rating.
• Do not disclose personal, confidential or third-party proprietary data to public AI services
without the written approval of the Chief Information Officer and Data Protection Officer.
• Assessments: All AI projects require an AI Risk Assessment; Medium/High
risk mandates Data Privacy Impact Assessment and Ethics review. RAAC may
put in place project requirements based on the risk rating.
6. Human Oversight & Accountability: Maintain human-in-the-loop for significant
decisions and provide mechanisms for challenge and redress.
• Maintain human oversight; AI is an augmentation tool, not a replacement for professional
judgment.
It is also the role of the supervisor to review and have oversight of the content of ethics application
submissions from researchers under their supervision and to check the researcher’s documentation,
ensuring that any inaccuracies including spelling and grammar are corrected, before signing the
application off and authorising its submission to the ethics committee.
3. Transparency & Explainability: Ensure AI decision-making processes are
explainable to stakeholders, with clear disclosures of AI use.
### Artificial Intelligence for study and assessment
Follow this online course, designed by Aston University students and staff, to increase your understanding of the expectations related to academic integrity and the ethical use of Artificial Intelligence (AI) in assessment. Clarifying the University's stance on the use of Generative AI in study and assessment you will:
* Get tips on constructive and ethical use
* learning about risks and limitations
* find out where to look for information about acknowledging AI correctly
* find out how to get support when needed
This page collates contacts, resources, and other useful information for all staff involved in academic offences processes. Academic offences cover many forms of academic and intellectual malpractice, including cheating, plagiarism, collusion, the commissioning or purchasing of work, falsification of data, and the impersonation or allowing the impersonation of a student for the purposes of assessment attendance.
Academic Offences Officers are the Authorised Officers within their Colleges to investigate any cases of potential academic offences raised by colleagues and decide whether the evidence presented is sufficient to charge a student with a suspected offence.
This Policy applies to all Aston University campuses and operations, and covers:
• All staff, students, contractors, honorary and adjunct personnel.
• Mandatory Training: All staff and students working with AI must complete the
University’s Ethical AI and Data Protection e-module.
• Maintain human oversight; AI is an augmentation tool, not a replacement for professional
judgment.
Aston University has become one of the first universities in the UK to offer Microsoft 365 Copilot to all staff with training and support, as well as providing access to Copilot Chat for all students.
* The initiative will provide students with work-ready skills, and academic staff tools to boost their research.
This Policy establishes Aston University’s commitment to fostering cutting-edge AI
innovation while ensuring the ethical, safe, and privacy-preserving adoption and use of AI
across all University activities.
AI systems are classified by potential impact and data sensitivity:
Category Description Examples
Low Risk Non-sensitive tasks, minimal impact Spell-check, generic content
generation
Medium
Risk Limited transparency; non-critical data Chatbots, non-sensitive image/video generation
High Risk Impacts health, safety, education,
employment; sensitive data
Admissions scoring, medical triage
systems
Unacceptable Activities posing fundamental rights
violations
Un-targeted personal data
scraping; deepfake abuse
• Assessments: All AI projects require an AI Risk Assessment; Medium/High
risk mandates Data Privacy Impact Assessment and Ethics review. RAAC may
put in place project requirements based on the risk rating.
• Do not disclose personal, confidential or third-party proprietary data to public AI services
without the written approval of the Chief Information Officer and Data Protection Officer.
Aston University has become one of the first universities in the UK to offer Microsoft 365 Copilot to all staff with training and support, as well as providing access to Copilot Chat for all students.
This Policy establishes Aston University’s commitment to fostering cutting-edge AI
innovation while ensuring the ethical, safe, and privacy-preserving adoption and use of AI
across all University activities. It balances enabling sector-leading research, teaching, and
operational excellence with robust safeguards against bias, discrimination, data misuse, and
potential harm.
The main objectives are to:
1. Enable Innovation: Support novel AI solutions that drive educational, research, and
administrative impact in a sustainable manner.
2. Protect Rights and Privacy: Adhere to data protection, privacy, and intellectual
property laws.
3. Uphold Ethics and Safety: Embed human-centred values, fairness, transparency, and
accountability.
4. Manage Risk: Apply a proportionate, risk-based governance framework for AI systems
and solutions.
4.1 Responsible AI Adoption Committee (RAAC)
• Chaired by the CIO, reporting to University Executive.
• Reviews and approves new AI initiatives.
• Monitors AI portfolio, ensures compliance and continuous improvement.
• Policy updates: Review annually as a minimum, or upon significant legislative,
technological or organisational changes.
• Maintain human oversight; AI is an augmentation tool, not a replacement for professional
judgment. As part of our commitment to the responsible adoption of AI, the university
explicitly prohibits the development, deployment, or integration of agentic AI systems —
defined as AI entities that exhibit autonomous decision-making capabilities with the
potential to act independently of human oversight or control.
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Aston University has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
Aston University directs students to guidance on acknowledging AI correctly in study and assessment. At the institutional policy level, it also requires transparency and clear disclosures of AI use to stakeholders.
Aston University treats academic offences as including several forms of academic and intellectual malpractice, and assigns Academic Offences Officers to investigate suspected cases and determine whether there is sufficient evidence to charge a student. The provided sources do not mention AI detection tools specifically.
Aston University requires privacy-preserving AI adoption, uses a risk-based framework tied to data sensitivity, and requires additional privacy and ethics controls for medium- and high-risk AI projects. The policy prohibits entering personal, confidential, or third-party proprietary data into public AI services unless there is written approval from the CIO and Data Protection Officer. The university has also adopted Microsoft 365 Copilot institutionally for staff and Copilot Chat for students.
Disclaimer:* All university AI policy information presented on this platform is compiled from publicly available information, official university websites, and related academic sources. This data reflects information available at the time of last verification as on 27th February 2026. University and institution names referenced on this platform are the property and trademarks of their respective institutions. Their inclusion does not imply any affiliation with, endorsement by, or partnership with those institutions. Policy coverage scores and categorical indicators are automated assessments derived from available documentation and are provided for informational and comparative purposes only. They do not constitute legal, academic, or compliance advice. Users are advised to exercise their own judgement and independently verify all policy information directly with the respective university before making any academic or institutional decisions. For any queries or corrections, please contact us at support@trinka.ai