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Numrering	Referens	Omslagsbild	Hitta
1.	Fischer-Hübner, Simone, et al. (författare) Privacy in Social Collective Intelligence Systems 2014. - 1 Ingår i: Social Collective Intelligence. - Switzerland : Springer. - 9783319086804 ; , s. 105-124 Bokkapitel (refereegranskat)abstract The impact of Social Collective Intelligent Systems (SCIS) on the individual right of privacy is discussed in this chapter under the light of the relevant privacy principles of the European Data Protection Legal Framework and the Organization for Economic Co-operation and Development (OECD) Privacy Guidelines. This chapter analyzes the impact and limits of profiling, provenance and reputation on the right of privacy and review the legal privacy protection for profiles. From the technical perspective, we discuss opportunities and challenges for designing privacy-preserving systems for SCIS concerning collectives and decentralized systems. Furthermore, we present a selection of privacy-enhancing technologies that are relevant for SCIS: anonymous credentials, transparency-enhancing tools and the PrimeLife Policy Language. Finally, we discuss how these technologies can help to enforce the main legal principles of the European Data Protection Legal Framework, and argue how provenance and reputation can be designed in a privacy preserving manner.

Fischer-Hübner, Simone, et al. (författare)
Privacy in Social Collective Intelligence Systems
2014. - 1
Ingår i: Social Collective Intelligence. - Switzerland : Springer. - 9783319086804 ; , s. 105-124
Bokkapitel (refereegranskat)abstract
- The impact of Social Collective Intelligent Systems (SCIS) on the individual right of privacy is discussed in this chapter under the light of the relevant privacy principles of the European Data Protection Legal Framework and the Organization for Economic Co-operation and Development (OECD) Privacy Guidelines. This chapter analyzes the impact and limits of profiling, provenance and reputation on the right of privacy and review the legal privacy protection for profiles. From the technical perspective, we discuss opportunities and challenges for designing privacy-preserving systems for SCIS concerning collectives and decentralized systems. Furthermore, we present a selection of privacy-enhancing technologies that are relevant for SCIS: anonymous credentials, transparency-enhancing tools and the PrimeLife Policy Language. Finally, we discuss how these technologies can help to enforce the main legal principles of the European Data Protection Legal Framework, and argue how provenance and reputation can be designed in a privacy preserving manner.

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