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University of Sussex
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différentiel Université of Sussex public-release-20260523-001
Première version suivie.
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11 # University of Sussex AI policy diff
22 ## Newly extracted tracker claim
33 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
4+academic_integrity: University of Sussex staff guidance suggests telling students that AI detection tools are fallible and cannot be relied upon.
5+Evidence (en, 68f3a05a00fe): Acknowledge that AI detection tools already exist, many much more sophisticated ones are in development and, predictably, a web-based sub-culture of ways to fool the detection systems is also growing. Explain that all are fallible and cannot be relied upon.
6+Tracker checked at: 2026-05-16T04:28:00.000Z
47 ## Newly extracted tracker claim
58 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
9+academic_integrity: University of Sussex student misconduct guidance includes unauthorized or inappropriate use of digital technologies including AI, and gives examples including AI use where prohibited and submitting permitted AI-generated work without required acknowledgement.
10+Evidence (en, 46969a5b3b29): Misuse of digital technologies includes artificial intelligence. Examples include: using AI or other digital tools, such as translation tools in an assessment where their use has been prohibited; submitting AI-generated work, where this is permitted, without required acknowledgment.
11+Tracker checked at: 2026-05-16T04:27:00.000Z
612 ## Newly extracted tracker claim
713 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
14+academic_integrity: University of Sussex staff guidance says module convenors determine and communicate AI-use permissions via module Canvas sites and choose one of three assessment-level permissions: AI use prohibited, AI in an assistive role, or AI with an integral role.
15+Evidence (en, 53a19cdbabe2): It is up to module convenors to determine and communicate AI use permissions via module Canvas sites. For each assessment, choose one of three permitted levels of AI use: AI use is prohibited; AI can be used in an assistive role; AI has an integral role.
16+Tracker checked at: 2026-05-16T04:24:00.000Z
817 ## Newly extracted tracker claim
918 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
19+teaching: University of Sussex AI principles say decisions on whether AI use is permitted, not permitted, optional, or required in learning or assessment will be made explicit.
20+Evidence (en, 83f0e9da6cad): Whether AI use is permitted/not permitted, optional or required in learning or assessment will be made explicit.
21+Tracker checked at: 2026-05-16T04:26:00.000Z
1022 ## Newly extracted tracker claim
1123 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
24+privacy: University of Sussex staff guidance says staff and students can access a data-protected Microsoft Copilot with Sussex credentials, and says university data such as learning and teaching content should be used in Copilot rather than less protected AI tools.
25+Evidence (en, e1589674e62e): Being logged into Copilot with your Sussex account means that your data is protected. Your chat results won't saved or made available to Microsoft, meaning any data isn't passed outside of the organisation. This is in contrast to both the free version of Copilot and other AI tools which may not be protecting your data. If you are using university data in an AI tool, such as learning and teaching content, then ensure you use Copilot.
26+Tracker checked at: 2026-05-16T04:25:00.000Z
1227 ## Newly extracted tracker claim
1328 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
29+academic_integrity: University of Sussex staff guidance provides a prohibited-use assessment statement saying generative AI tools must not be used to generate materials or content for that assessment, while allowing other assistive technology for registered reasonable adjustments.
30+Evidence (en, 53a19cdbabe2): Generative AI tools must not be used to generate any materials or content for this assessment. The purpose and format of this assessment makes it inappropriate or impractical for AI tools to be used. Students registered with the Disability Advice team and in receipt of reasonable adjustments are still permitted to use other assistive technology as required.
31+Tracker checked at: 2026-05-16T04:24:00.000Z
1432 ## Source attribution added
1533 An official source attribution was added to the tracker record.
34+Source https://staff.sussex.ac.uk/teaching/enhancement/support/artificial-intelligence/academic-integrity snapshot 53a19cdbabe24a521e8a613cd89e1c8ed948968678f7b5ca145bb4746f589e77
35+Tracker checked at: 2026-05-16T04:24:00.000Z
1636 ## Source attribution added
1737 An official source attribution was added to the tracker record.
38+Source https://staff.sussex.ac.uk/teaching/enhancement/support/artificial-intelligence/ai-tools snapshot e1589674e62e0f19fb425efe092b65cfe113c63deadd3a513b7883b97204ffd8
39+Tracker checked at: 2026-05-16T04:25:00.000Z
1840 ## Source attribution added
1941 An official source attribution was added to the tracker record.
42+Source https://staff.sussex.ac.uk/teaching/enhancement/support/artificial-intelligence/engaging-students snapshot 68f3a05a00fed0c62203a9bc165fb6bdcd0feebd7be7ae50c0232441d41c8f6f
43+Tracker checked at: 2026-05-16T04:28:00.000Z
2044 ## Source attribution added
2145 An official source attribution was added to the tracker record.
46+Source https://student.sussex.ac.uk/complaints/against-you/misconduct snapshot 46969a5b3b29c20a295d7735aafa41a95be4aece5d82b6641a79fc5daa5e9de4
47+Tracker checked at: 2026-05-16T04:27:00.000Z
2248 ## Source attribution added
2349 An official source attribution was added to the tracker record.
50+Source https://www.sussex.ac.uk/about/ai-principles snapshot 83f0e9da6cadc94a704acae251c8736e00ac4201fd7b243c7bc35bfad9575766
51+Tracker checked at: 2026-05-16T04:26:00.000Z
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