How Jisc is developing guidance on the legal and ethical aspects of the Intelligent Campus. If you are working in the area of the intelligent campus and have an interest in the work being undertaken in this space, we would like to invite you to attend the third of our community events. This community of practice gives people a chance to network, share practice and hear what various institutions are doing. You will have the opportunity to discover more about our intelligent campus project and our work in this space.

1. Legal and Ethics

2. Intelligent Campus Ethics
•Some of which will not be ethically/legally justifiable e.g. high-risk data
used for low-benefit purpose
•Jisc help to make appropriate purpose/design choices
•(Draft) DPIA toolkit to help choose appropriate purpose, data, controls
•(In review) paper using ethical codes to address data protection
challenges
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Using wide range of data for wide range of purposes

3. Or, in more detail…

4. Learning Analytics ➠ Intelligent Campus
•Relatively uncontentious: how to do it, rather than whether
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Learning Analytics - Using learning data to improve learning

5. Learning Analytics ➠ Intelligent Campus
•Some of which will not be ethically/legally justifiable e.g. high-risk data
used for low-benefit purpose
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Intelligent Campus - Using a range of data for wider range of purposes

6. Choosing right applications and data
•Levels of risk
•How to assess risk of a particular application
•Mitigations that may help
•Based on EU Regulators’ RFID toolkit
•Can be used with EU, UK or UCISA DPIA process
•(draft) paper on ethical/legal issues
•Expected publication “Spring 2019”
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(draft) Toolkit for Data Protection Impact Assessments (DPIA)

7. Intelligent Campus DPIA
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Senses and Risks (based on Art29 RFID DPIA)
Vision Hearing Location
0: Presence Motion detection Sound level
1: Counting Queue measuring
2: Identifying CCTV monitoring Location-aware
app
3: Recording CCTV recording Audio recording Access card/logs
4: Analysing Face recognition Trigger words Behaviour
mapping

8. Intelligent Campus Paper
•Challenges for traditional DP approach
•Can’t guarantee people see notices
•Collection often unavoidable => Consent invalid
•Retrospective rights (e.g. SAR & objection) may be limited in practice &
benefit
•Privacy-respecting implementations actually make these harder!
•Can we offer prior control as well?
•Occupants of space should be able to decide/challenge how & why it is
monitored
•Achieve consensus on purposes, implementation, review and benefits
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Going beyond Data Protection