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Authors: Victor Chang 1 ; Rahman Olamide Eniola 2 ; Ben Shaw-Ching Liu 3 and Mitra Arami 4

Affiliations: 1 Department of Operations and Information Management, Aston Business School, Aston University, Birmingham, U.K. ; 2 Cybersecurity, Information Systems and AI Research Group, School of Computing, Engineering and Digital Technologies, Teesside University, U.K. ; 3 Department of Marketing, Lender School of Business Center, Quinnipiac University Hamden, CT 06518, U.S.A. ; 4 Pardis Limited, London and EM Normandie Business School, France

Keyword(s): Ethics for AI and Data Science, Ethical Framework, Ethics for Smart Healthcare.

Abstract: There has been significant growth in big data technology in healthcare in recent years. However, the potential of big data analytics is affected by various ethical and security concerns, which have hampered the application of big data analytics in healthcare. Recently, numerous studies have been conducted on the emerging big data ethical issues in healthcare. While most of the journal reflects on privacy and security questions, it did not examine; objectively the possible discriminatory impact of big data analytics has no. This mixed-method project aims to highlight various ethical problems in big data analytics while also providing an in-depth insight into the biased results derivable from big data analytics and the effects of such outcomes.

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Paper citation in several formats:
Chang, V. ; Eniola, R. ; Liu, B. and Arami, M. (2022). An Ethical Framework for Big Data and Smart Healthcare. In Proceedings of the 4th International Conference on Finance, Economics, Management and IT Business - FEMIB; ISBN 978-989-758-567-8; ISSN 2184-5891, SciTePress, pages 65-74. DOI: 10.5220/0011030900003206

@conference{femib22,
author={Victor Chang and Rahman Olamide Eniola and Ben Shaw{-}Ching Liu and Mitra Arami},
title={An Ethical Framework for Big Data and Smart Healthcare},
booktitle={Proceedings of the 4th International Conference on Finance, Economics, Management and IT Business - FEMIB},
year={2022},
pages={65-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011030900003206},
isbn={978-989-758-567-8},
issn={2184-5891},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Finance, Economics, Management and IT Business - FEMIB
TI - An Ethical Framework for Big Data and Smart Healthcare
SN - 978-989-758-567-8
IS - 2184-5891
AU - Chang, V.
AU - Eniola, R.
AU - Liu, B.
AU - Arami, M.
PY - 2022
SP - 65
EP - 74
DO - 10.5220/0011030900003206
PB - SciTePress

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