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Automating Normative Control for Healthcare Research
- Source :
- AI Approaches to the Complexity of Legal Systems XI-XII ISBN: 9783030898106, AICOL, AI Approaches to the Complexity of Legal Systems XI-XII: AICOL International Workshops 2018 and 2020: AICOL-XI@JURIX 2018, AICOL-XII@JURIX 2020, XAILA@JURIX 2020 : revised selected papers, 62-72, STARTPAGE=62;ENDPAGE=72;TITLE=AI Approaches to the Complexity of Legal Systems XI-XII
- Publication Year :
- 2021
- Publisher :
- Springer International Publishing, 2021.
-
Abstract
- There is an increasing need for norms to be embedded in technology as the widespread deployment of big data analysis appli- cations increases. However, existing methodologies do not provide au- tomated policy enforcement mechanisms especially for policies derived from legislation and contractual agreements. Consequently, data access is hindered and collaborations derailed due to fear data misuse and high non-compliance fees. This research aims to automate normative con- trols in healthcare, such as data sharing agreements, and ultimately, enforce these policies for compliant data usage and access which encour- ages collaboration and facilitates research outcomes while maintaining accountability. This paper outlines the PhD research questions, current approaches and preliminary results.
Details
- ISBN :
- 978-3-030-89810-6
- ISBNs :
- 9783030898106
- Database :
- OpenAIRE
- Journal :
- AI Approaches to the Complexity of Legal Systems XI-XII ISBN: 9783030898106, AICOL, AI Approaches to the Complexity of Legal Systems XI-XII: AICOL International Workshops 2018 and 2020: AICOL-XI@JURIX 2018, AICOL-XII@JURIX 2020, XAILA@JURIX 2020 : revised selected papers, 62-72, STARTPAGE=62;ENDPAGE=72;TITLE=AI Approaches to the Complexity of Legal Systems XI-XII
- Accession number :
- edsair.doi.dedup.....a877a995d6ce7c8f2c89fcf7d3cda778
- Full Text :
- https://doi.org/10.1007/978-3-030-89811-3_5