Privacy and Trust in Cloud-Based Marketplaces for AI and Data Resources - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Privacy and Trust in Cloud-Based Marketplaces for AI and Data Resources

Résumé

The processing of the huge amounts of information from the Internet of Things (IoT) has become challenging. Artificial Intelligence (AI) techniques have been developed to handle this task efficiently. However, they require annotated data sets for training, while manual preprocessing of the data sets is costly. The H2020 project “Bonseyes” has suggested a “Market Place for AI”, where the stakeholders can engage trustfully in business around AI resources and data sets. The MP permits trading of resources that have high privacy requirements (e.g. data sets containing patient medical information) as well as ones with low requirements (e.g. fuel consumption of cars) for the sake of its generality. In this abstract we review trust and privacy definitions and provide a first requirement analysis for them with regards to Cloud-based Market Places (CMPs). The comparison of definitions and requirements allows for the identification of the research gap that will be addressed by the main authors PhD project.
Fichier principal
Vignette du fichier
BookBackmatter_2.pdf (73.97 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01651185 , version 1 (28-11-2017)

Licence

Paternité

Identifiants

  • HAL Id : hal-01651185 , version 1

Citer

Vida Ahmadi, Kurt Tutschku. Privacy and Trust in Cloud-Based Marketplaces for AI and Data Resources. 11th IFIP International Conference on Trust Management (TM), Jun 2017, Gothenburg, Sweden. pp.223-225. ⟨hal-01651185⟩
609 Consultations
143 Téléchargements

Partager

Gmail Facebook X LinkedIn More