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Towards Privacy Requirements for Collaborative Development of AI Applications
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering. (Cloud, Networking and Security)ORCID iD: 0000-0002-0128-4127
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering. (Cloud, Networking and Security)ORCID iD: 0000-0001-8453-447x
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering. (Cloud, Networking and Security)ORCID iD: 0000-0003-4814-4428
2018 (English)In: 14th Swedish National Computer Networking Workshop (SNCNW), 2018Conference paper, Published paper (Refereed)
Abstract [en]

The use of data is essential for the capabilities of Data- driven Artificial intelligence (AI), Deep Learning and Big Data analysis techniques. The use of data, however, raises intrinsically the concern of the data privacy, in particular for the individuals that provide data. Hence, data privacy is considered as one of the main non-functional features of the Next Generation Internet. This paper describes the privacy challenges and requirements for collaborative AI application development. We investigate the constraints of using digital right management for supporting collaboration to address the privacy requirements in the regulation.

Place, publisher, year, edition, pages
2018.
Keywords [en]
privacy, DRM, AI, Collaboration
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-16446OAI: oai:DiVA.org:bth-16446DiVA, id: diva2:1217364
Conference
14th Swedish National Computer Networking Workshop (SNCNW 2018), Karlskrona
Projects
H2020 Bonseyes
Funder
EU, Horizon 2020, 732204Available from: 2018-06-13 Created: 2018-06-13 Last updated: 2023-06-07Bibliographically approved

Open Access in DiVA

fulltext(1616 kB)260 downloads
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File name FULLTEXT02.pdfFile size 1616 kBChecksum SHA-512
977490c66ab889089d5ae662229fc44f24c18fbe4d2c6a6edc4f5bba5fa670ac8ddef05b33115bc0e2dc6ef05ecfe72f8fb81b1a6d7f4346a428cdbf26075b49
Type fulltextMimetype application/pdf

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Ahmadi Mehri, VidaIlie, DragosTutschku, Kurt

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Output format
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