University of Birmingham

Unless explicitly stated otherwise, students should assume that the use of generative AI within an assessment or assignment is not permitted.

证据定位: Guiding Framework - Academic Integrity

This guidance provides a framework for the implementation and use of generative AI models within teaching, learning, assessment, and support at the University of Birmingham.

证据定位: Guiding Framework for the Introduction of Generative AI Within Teaching, Learning and Assessment

Within all modules, academic staff should clearly articulate if, and to what extent, the use of generative AI tools is permitted within assessments or assignments by students: This should be detailed within the course outline and all assessment and assignment briefs.

证据定位: Guiding Framework - Learning, teaching, assessment and support

Personal, confidential, or sensitive data must not be entered into AI tools without: clear justification (including consideration of locally-hosted versus cloud-based tools), data minimisation, Data Protection Impact Assessments (where applicable).

证据定位: Guidance for the use of AI in research - Data Protection And Information Security

Where AI supported marking and feedback practices and used, clear information should be provided to students on their use that details why, and how, AI tools are being used; emphasises that there remains human oversight; and addresses any privacy concerns that students might have about their data or work being uploaded to AI tools.

证据定位: Student-facing Module Statement on AI Marking and Feedback

Tools designed to detect the use of generative AI are currently known to produce both false positives and false negatives. At present, the use of any such tools within the University is not allowable and no student work should be uploaded to generative AI detection software.

证据定位: Guiding Framework - Academic Integrity

Researchers should use only University-endorsed AI tools to ensure compliance with licensing, data protection, and information security requirements. Use of unapproved or externally hosted tools should be justified and recorded in project documentation such as Data Management Plans or ethics submissions.

证据定位: Guidance for the use of AI in research - Transparency And Acknowledgment

This guidance applies to all researchers at the University of Birmingham who engage with Artificial Intelligence (AI) in the context of research, whether by using existing tools, developing new models, or deploying AI systems in real-world environments. A human researcher must be accountable for every substantive claim, interpretation, and output.

证据定位: Guidance for the use of AI in research - Scope and Human Oversight

The University's framework does allow you to use Generative AI tools as study aids for your personal learning and in your research. You are permitted to use these tools in this context, as long as you do not submit the actual AI-generated output as your own work for assessment.

证据定位: Student and PGR use of Generative AI tools

The University provides approved access to the Enterprise version of Microsoft Co-Pilot which you can access via your University account. Ensure the green shield labelled Enterprise data protection applies to this chat is showing so that you know you are safely using the Enterprise version.

证据定位: Responsible AI tool selection for researchers - opening guidance

Before registering for a new tool, it is crucial to review the Terms and Conditions (licence), which form the legal agreement between you and the supplier. If issues arise, such as non-compliance with accessibility or data protection standards, indemnification requirements, or copyright concerns, seek further guidance from your local licensing or IT procurement teams before registering for the service.

证据定位: AI tools licensing review guidance - Next steps