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Article type: Research Article
Authors: Domin, Heather Elainea; * | Miller, Sondriab
Affiliations: [a] Doctoral Program for Business Analytics and Data Science, Capitol Technology University, Laurel, MD, USA | [b] Doctoral Programs, Capitol Technology University, Laurel, MD, USA
Correspondence: [*] Corresponding author: Heather Elaine Domin, Capitol Technology University, 11301 Springfield Rd, Laurel, MD 20708, USA. Tel.: +1 8669609620; E-mail: hedomin@captechu.edu.
Abstract: BACKGROUND:Facial recognition technology can significantly benefit society if used ethically. Various private sector, government, and civil society groups have created guidance documents to help guide the ethical use of this technology. OBJECTIVE:The study’s objective was to identify the common themes in these ethical guidance documents and determine the prevalence of those themes. METHODS:A qualitative content analysis of 25 facial recognition technology ethical guidance documents published within the United States or by international groups that included representation from the United States. RESULTS:The results show eight themes within the facial recognition technology ethical guidance documents: privacy, responsibility, accuracy and performance, accountability, transparency, lawful use, fairness, and purpose limitation. The most prevalent themes were privacy and responsibility. CONCLUSIONS:By following common ethical recommendations, industry actors can help address the challenges that may arise when seeking to develop, deploy, and use facial recognition technology. The research findings can inform the current debates regarding the ethical use of this technology and might help further the development of ethical norms within the industry.
Keywords: Artificial intelligence, facial recognition technology, ethics, principles, content analysis
DOI: 10.3233/HSM-230099
Journal: Human Systems Management, vol. Pre-press, no. Pre-press, pp. 1-14, 2023
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