Resources
Identity Use Cases & Scenarios.- FIDIS Deliverables.
- Identity of Identity.
- Interoperability.
- Profiling.
- D7.2: Descriptive analysis and inventory of profiling practices.
- D7.3: Report on Actual and Possible Profiling Techniques in the Field of Ambient Intelligence.
- D7.4: Implications of profiling practices on democracy.
- D7.6 Workshop on AmI, Profiling and RFID.
- D7.7: RFID, Profiling, and AmI.
- D7.8: Workshop on Ambient Law.
- D7.9: A Vision of Ambient Law.
- D7.10: Multidisciplinary literature selection, with Wiki discussion forum on Profiling, AmI, RFID, Biometrics and Identity.
- D7.11: Kick-off Workshop on biometric behavioural profiling and Transparency Enhancing Technologies.
- Forensic Implications.
- HighTechID.
- Privacy and legal-social content.
- Mobility and Identity.
- Other.
- IDIS Journal.
- FIDIS Interactive.
- Press & Events.
- In-House Journal.
- Booklets
- Identity in a Networked World.
- Identity R/Evolution.
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Title: FROM DATA MINIMISATION TO MINIMISATION OF KNOWLEDGE ASYMMETRY |
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From data minimisation to minimisation of knowledge asymmetry
AmI depends on data maximisation and according to some authors urgently calls for a paradigm shift from the protection of data to the transparency of knowledge (Zarsky 2002-2003). Instead of focusing on the collection and storage of personal data we need to concentrate on the application of profiles. Minimising data will render an environment less intelligent, thus obstructing the objectives of AmI. If we are confronted with the realisation of AmI, we need an ambient law that directs it attention to transparency of profiles, which function like knowledge claims. Instead of spending all energy on PETs we should start investing in tools to establish minimisation of knowledge asymmetry (Jiang 2002).
These are central findings within workpacakge 7.
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