Conference paper Open Access

Towards Generating Policy-Compliant Datasets

Debruyne, Christophe; Pandit, Harshvardhan J.; Lewis, Dave; O'Sullivan, Declan

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.

Files (538.4 kB)
Name Size
2019_conference_towards_generating_policy_compliant_datasets.pdf
md5:987b7c30c48d4490887c5938ab171478
538.4 kB Download
20
26
views
downloads
All versions This version
Views 2020
Downloads 2626
Data volume 14.0 MB14.0 MB
Unique views 2020
Unique downloads 2626

Share

Cite as