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Authors: Matthias Blohm 1 ; Claudia Dukino 2 ; Maximilien Kintz 2 ; Monika Kochanowski 2 ; Falko Koetter 2 and Thomas Renner 2

Affiliations: 1 University of Stuttgart IAT, Institute of Human Factors and Technology Management and Germany ; 2 Fraunhofer IAO, Fraunhofer Institute for Industrial Engineering IAO and Germany

ISBN: 978-989-758-372-8

Keyword(s): Natural Language Processing, Artificial Intelligence, Cloud Platform, GDPR, Compliance, Anonymization.

Abstract: Natural language processing in combination with advances in artificial intelligence is on the rise. However, compliance constraints while handling personal data in many types of documents hinder various application scenarios. We describe the challenges of working with personal and particularly sensitive data in practice with three different use cases. We present the anonymization bootstrap challenge in creating a prototype in a cloud environment. Finally, we outline an architecture for privacy compliant AI cloud applications and an anonymization tool. With these preliminary results, we describe future work in bridging privacy and AI.

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Paper citation in several formats:
Blohm, M.; Dukino, C.; Kintz, M.; Kochanowski, M.; Koetter, F. and Renner, T. (2019). Towards a Privacy Compliant Cloud Architecture for Natural Language Processing Platforms.In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-372-8, pages 454-461. DOI: 10.5220/0007746204540461

@conference{iceis19,
author={Matthias Blohm. and Claudia Dukino. and Maximilien Kintz. and Monika Kochanowski. and Falko Koetter. and Thomas Renner.},
title={Towards a Privacy Compliant Cloud Architecture for Natural Language Processing Platforms},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2019},
pages={454-461},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007746204540461},
isbn={978-989-758-372-8},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Towards a Privacy Compliant Cloud Architecture for Natural Language Processing Platforms
SN - 978-989-758-372-8
AU - Blohm, M.
AU - Dukino, C.
AU - Kintz, M.
AU - Kochanowski, M.
AU - Koetter, F.
AU - Renner, T.
PY - 2019
SP - 454
EP - 461
DO - 10.5220/0007746204540461

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