Faculty Publications
Document Type
Article
Publication Version
Published Version
Keywords
artificial intelligence, big data, decision process, Ethical decision making, privacy, surveillance analytics
Journal/Book/Conference Title
Journal of Business Analytics
Volume
4
Issue
2
First Page
155
Last Page
170
Abstract
The right to privacy has been discussed by scholars in multiple disciplines, yet privacy issues are increasing due to technological advances and lower costs for organisations to adopt smart surveillance. Given the potential for misuse, it seems prudent for stakeholders to critically evaluate Surveillance Analytics (SA) innovations. To assist in balancing the issues arising from SA adoption and the implications for privacy, we review key terms and ethical frameworks. Further, we prescribe a two-by-two Surveillance, Privacy, and Ethical Decision (SPED) Process Guide. SPED recommends the use of one or more of three ethical frameworks, Consequence, Duty, and Virtue. The vertical axis in the SPED matrix is the sophistication of an organisation’s SA and the horizontal axis is an assessment of the current privacy level and the rights afforded to the target(s) of surveillance. The proposed decision process guide can assist senior managers and technologists in making decisions about adopting SA.
Department
Department of Management
Original Publication Date
1-1-2021
Object Description
1 PDF File
DOI of published version
10.1080/2573234X.2021.1920856
Repository
UNI ScholarWorks, Rod Library, University of Northern Iowa
Copyright
©2021 by the Authors. CC BY-NC-ND license.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Language
en
File Format
application/pdf
Recommended Citation
Power, Daniel J.; Heavin, Ciara; and O’Connor, Yvonne, "Balancing Privacy Rights And Surveillance Analytics: A Decision Process Guide" (2021). Faculty Publications. 177.
https://scholarworks.uni.edu/facpub/177
Comments
First published in Journal of Business Analytics, v.4 n.2 (2021), by the Francis & Taylor. DOI: 10.1080/2573234X.2021.1920856