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Opportunities and Challenges of Dynamic Consent in Commercial Big Data Analytics

Abstract : In the context of big data analytics, the possibilities and demands of online data services may change rapidly, and with it change scenarios related to the processing of personal data. Such changes may pose challenges with respect to legal requirements such as a transparency and consent, and therefore call for novel methods to address the legal and conceptual issues that arise in its course. We define the concept of ‘dynamic consent’ as a means to meet the challenge of acquiring consent in a commercial use case that faces change with respect to re-purposing the processing of personal data with the goal to implement new data services. We present a prototypical implementation that facilitates incremental consent forms based on dynamic consent. We report the results gained via two focus groups which we used to evaluate our design, and derive from our findings implications for future directions.
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Conference papers
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Submitted on : Thursday, October 14, 2021 - 5:49:02 PM
Last modification on : Wednesday, November 3, 2021 - 6:55:36 AM
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Eva Schlehahn, Patrick Murmann, Farzaneh Karegar, Simone Fischer-Hübner. Opportunities and Challenges of Dynamic Consent in Commercial Big Data Analytics. 14th IFIP International Summer School on Privacy and Identity Management (Privacy and Identity), Aug 2019, Windisch, Switzerland. pp.29-44, ⟨10.1007/978-3-030-42504-3_3⟩. ⟨hal-03378972⟩



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