Exploding personal data and a troubled conceptualization of privacy have made informational privacy a recurrent, messy and real problem. Van den Hoven presents a new conceptualization for privacy that is more adequate at addressing these problems.
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Privacy, Data Protection and SNS
1. Privacy, Data Protection and SNS Prof. dr. Jeroen van den Hoven Scientific Director 3TU Centre Ethics and Technology Professor Delft University of Technology Professorial Fellow Australian National University
2. EXPLODING Personal Data EMPLOYEE MONITORING INTERNET SEARCH BEHAVIOR TELECOMMUNICATION VEHICLE REGISTRATION SYSTEMS INTERNET OF THINGS PAYMENTS CCTV IN PUBLIC PLACES SOCIAL SECURITY HOMELAND SECURITY POPULATION REGISTRATION SNS AMBIENT ASSISTED LIVING PROFILES COOKIES KNOWLEDGE DISCOVERY IN DATA BASES RFID
3. Privacy Consider an empty restaurant Consider a successful SNS Informational (tort privacy) Decisional (constitutional) What is personal data? Referential (identity based) Attributive (attribute based)
4. Privacy A) recurrent problem (explain) B) messy problem (clear up) C) real problem (understand)
5. A. Data greed explained Commodity Prisoners Dilemmas; Principal- Agent Public goods Free-riders Negative reasons Customer relations pro-active service Positive reasons Market Government Accumulation of Personal data
6. B. Mess: Privacy Accounts Scarcity Account Moral self-ownership Autonomy Personal sphere/zone Property Human dignity Utilitarian
7. C. Problem liberalist &. communitarians divided over conception of the liberal self: unencumbered, punctual, un-situated individual rights, privacy, autonomy community/corporation needs: information, surveillance, monitoring
8. Normative principles of DATA PROTECTION (EU 95 Directive) notification participation purpose specification use limitation security accuracy accountability informed consent (Central Principle of Data Protection)
9. Conceptualizing privacy privacy (USA) vs. data-protection (EU) reconstruction in terms of moral reasons for data-protection Why establish data-protection regimes, norms, habits which put autonomy/informed consent and other constraints (95 Dir) center stage?
10. Moral grounds for data-protection 1. Preventing harm 2. Establishing transparency, fairness and equality of opportunity/arms in market for personal data 3.Respecting Informational Justice: Separation of spheres of access (Walzer) 4.Respecting Moral autonomy
11. Importance of Design Privacy by Design Privacy Enhancing Technology (PET) Business Process Redesign (BPR) Specified in the form of: Deontic constraints on information relations, information actions, implemented in software and architectures