Jusletter IT

Using Open-Source Image Datasets for Research

  • Authors: Jakob Zanol / Jonas Pfister / Jessica Fleisch
  • Category of articles: Data Protection
  • Region: EU
  • Field of law: Data Protection
  • DOI: 10.38023/176ba478-dba7-49a1-aa5d-cc54a04fb105
  • Citation: Jakob Zanol / Jonas Pfister / Jessica Fleisch, Using Open-Source Image Datasets for Research, in: Jusletter IT 27 April 2023
The application of AI-based Facial Recognition (FRT) raises various legal and ethical questions. A comprehensive analysis must take into consideration not only the creation and future use of facial recognition but has to start even earlier: namely with the selection of the underlying data sets. While it may seem practical to utilize open-source image datasets for the creation, training and testing of models, the compliant use of such data sets still represents a major legal hurdle, especially with regard to international aspects. This is mainly due the fact, that harmonization in the area of research and data protection is very limited and still largely left to national legislators, even within the European Union. In this article, the authors analyse key problems of the use of open-source datasets for research in the area of FRT based on AI.

Table of contents

  • 1. Introduction
  • 2. Applicable Law
  • 3. “Role Allocation” under the GDPR
  • 4. Lawfulness
  • 4.1. Lawfulness of the initial collection of training data (and its impact on subsequent use of the dataset)
  • 4.2. Is using existing training data sets – “further processing” under Art. 6 (4) GDPR?
  • 5. Conclusion
  • 6. Acknowledgement

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