Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/50460

Towards Ethical Big Data Artifacts: A Conceptual Design

File SizeFormat 
paper0573.pdf457.34 kBAdobe PDFView/Open

Item Summary

Title: Towards Ethical Big Data Artifacts: A Conceptual Design
Authors: Tona, Olgerta
Someh, Ida Asadi
Mohajeri, Kaveh
Shanks, Graeme
Davern, Michael
show 2 moreCarlsson, Sven
Kajtazi, Miranda

show less
Keywords: Data Analytics Management, Governance, and Compliance
Big Data Analytics, Discourse Ethics, Ethical artifacts, Social engagement platform
Issue Date: 03 Jan 2018
Abstract: Although Big Data generates many benefits for individuals, organizations and society, significant ethical issues are forcing governments to review their regulations so that citizens’ rights are protected. Given these ethical issues and a gradual increase of awareness about them, individuals are in need of new technical solutions to engage with organizations that extract value from Big Data. Currently, available solutions do not adequately accommodate the conflicting interests of individuals and organizations. In this paper, we propose a conceptual design for an artifact that will raise awareness amongst individuals about Big Data ethical issues and help to restore the power balance between individuals and organizations. Furthermore, we set forward a design agenda outlining future activities towards building and evaluating our proposed artifact. Our work is grounded in discourse ethics and stakeholder theory and intertwined with the European General Data Protection Regulation (GDPR)
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/50460
ISBN: 978-0-9981331-1-9
DOI: 10.24251/HICSS.2018.571
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Data Analytics Management, Governance, and Compliance


Please contact sspace@hawaii.edu if you need this content in an alternative format.

Items in ScholarSpace are protected by copyright, with all rights reserved, unless otherwise indicated.