Type

Conference Proceedings

Authors

David Lewis
Harshvardhan Jitendra Pandit
Christophe Debruyne
Declan O'Sullivan

Subjects

Computer Science

Topics
governance data processing knowledge and data engineering compliance analysis semantic mappings consent representation informed consent digital engagement

Towards Generating Policy-compliant Datasets (2019)

Abstract The development of intelligent (e.g., AI-based) applications increasingly requires governance models and processes, as financial legal sanctions are more and more being associated with violation of policies. We propose an ontology representing the informed consent that was collected by an organization and argue how it can be used to assess a dataset prior its use in any type of data processing activities. We demonstrate the utility of our ontology using a particular scenario, where datasets are generated “just in time” for a particular purpose such as sending newsletters. This scenario shows how data processing activities can be managed to in such a way as to support compliance verification. This paper furthermore compares the contributions to related work and positions it into prior work concerned with the broader problem of prescribing and analyzing compliance.
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Full list of authors on original publication

David Lewis, Harshvardhan Jitendra Pandit, Christophe Debruyne, Declan O'Sullivan

Experts in our system

1
David Lewis
Trinity College Dublin
Total Publications: 86
 
2
Harshvardhan Jitendra Pandit
Trinity College Dublin
Total Publications: 29
 
3
Christophe Debruyne
Trinity College Dublin
Total Publications: 12
 
4
Declan O'Sullivan
Trinity College Dublin
Total Publications: 93