A systematic review of the ethical implications of using artificial intelligence in digital technologies and its relationship with the ethics of flourishing

Document Type : Original Article

Authors

1 University of Mazandaran, Babolsar, Iran

2 Associate Professor, Department of Sociology, Faculty of Social Sciences, University of Tehran

Abstract

The widespread influence of artificial intelligence in various aspects of human life raises major concerns in terms of the degree to which this technology adheres to ethical standards. Therefore, the aim of this study is to identify the key concepts of ethics for the use of artificial intelligence in digital technologies and its relationship with flourishing ethics. In this research, a systematic review of the literature has been used as a research methodology and the three-stage method of Mustak et al. has been used as a research method. After five stages of screening in the two databases "Scopus" and "Web of Science", 38 articles from 25 journals were analyzed. From their meta-qualitative synthesis, two central concepts under the title of “main patterns of digital technologies” and “ontological layers of digital technologies” were identified. 16 concepts of digital ethics related to the main patterns and ontological layers of digital technologies were also extracted from the intersection of the matrix of central concepts in the articles. Then, a conceptual map was prepared to interpret the findings, classify the identified ethical concepts under ontological patterns and layers, their correspondence with the principles of artificial intelligence ethics and their importance in the articles. Finally, the ratio of identified ethical concepts with flourishing ethics in the existing literature was investigated.

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References
Adomavicius, G., Bockstedt, J., Gupta, A. & Kauffman, R. (2007). Technology roles and paths of influence in an ecosystem model of technology evolution. Information Technology and Management, 8(2), 185-202.
Akter, S., McCarthy, G., Sajib, S., Michael, K. & Dwivedi, Y. (2021). Algorithmic bias in data-driven innovation in the age of AI. International Journal of Information Management, 60: Article 102387.
Alexander , G. (2019). Property, Dignity, and Human flourishing. Cornell Law Review, 104(4), 991-1046.
Berger , S., Denner, M. & Roeglinger , M. (2018). The nature of digital technologies- development of a multi-layer taxonomy. 26th Eropean Conference on Information Systems(ECIS) (1-20). Portsmouth,UK.: Finance&Information Management.
Booth, A., Papaioannou, D., & Sutton, A. (2012). Systematic approaches to a successful literature review. London: SAGE Publications.
Borges, A., Laurindo, F., Spinola, M., Goncalves, R., & Mattos, C. (2021). The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions. International Journal of Information Management, 57, Article 102225.
Brey, P. (2012). Anticipatory ethics for emerging technologies. Nanoethics, (6), 1-13.
Brynjolfsson, E., & McAfee, A. (2014). The second Machine age:Work,Progress, and Prosperity in a time of Brilliant technologies. New York: W.W.Norton and Company.
Bynum, T. (2006). Flourishing ethics. Ethics Information Technology, (8), 157-173.
Choi, H., Jung, S., Baek, S., Lim, W., Ahn, S., & Yang, I. (2019). Artificial intelligent model with neural network machine learning for the diagnosis of orthognathic surgery. J Craniofac Surg., 30(7), 1986-1989.
Duan, Y., Edwards, J., & Dwivedi, Y. (2019). Artificial intelligence for decision making in the era of Big Data-evolution, challenges and research agenda. International Journal of Information Management, (48), 63-71.
Dwivedi, Y., Hughes L, Ismagilova E, Aarts G, Coomb, L., Ismagilova, E., Aarts, G., Coombs, C., & Crick, T. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, (57), Article101994.
Feenberg, A. (1999). Questioning technology. London: Routledge.
Floridi, L. (2006). Information ethics, its nature and scope. ACM SIGCAS Computers and Society, (36), 21-36.
Floridi, L. (2018). Philosophical Transactions of The royal Society, Series A, Mathematical, Physical, and Engineering Sciences, 376(2133): Article 20180081.
Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1), 2-17.
Floridi, L. (2011). The Philosophy of Information. city: Oxford University Press.
Floridi, L. (2017). The logic of design as a conceptual logic of information. Minds Machines, 1-25.
Grewal, D., Kroschke, M., Mende, M., Mende, M., Roggeveen, A., & Scot. (2020). Frontline cyborgs at your service: How human enhancement technologies affect customer experiences in retail, sales, and service settings. Journal of Interactive Marketing, (51), 9-25.
Johnstone, J. (2007). Technology as empowerment: a capability approach to computer ethics. Ethics and Information Technology, 9(1), 73-87.
Kankanhalli, A., Charalabidis, Y., & Mellouli, S. (2019). IoT and AI for smart government: A research agenda. Government Information Quarterly, 36(2), 304-309.
Kazemi, A. R., & Motallebi Korbekandi, H. (2021). Social internet of things: Perspectives, Opportunities, and challenges. Tehran: CyberSpace Research Institute. (In Persian)
Kazim, E., Denny, D., & Koshiyama, A. (2021). AI auditing and impact assessment: according to the UK information commissioner’s office. AI and Ethics, 1-10.
Kumar, P., Dwivedi, Y., & Anand, A. (2021). Responsible Artificial Intelligence (AI) for value formation and market performance in healthcare: The mediating role of patient’s cognitive engagement. Information Systems frontiers. Journal of Research and Innovation, 1-24.
Lipton, Z., McAuley, J., & Chouldechova, A. (2018). Does mitigating ML’s impact disparity require treatment disparity? 32nd conference on Neural information Processing Systems (pp. 1-11). Montreal, Canada: Montreal.
MacIntyre, A. (2007). After virtue: a study in moral theory. Notre Dame: University of Notre Dame Press.
Malkiat, T., Sarunkorn, C., & Stephen, J. (2019). Balancing information governance obligations when accessing social care data for collaborative research. Records Management Journal, 29(1/2), 194-209.
Metcalf, J., Moss, E., & Boyd, D. (2019). Owning ethics: Corporate logics, silicon valley, and the institutionalization of ethics. Social Research, 86(2), 449-476.
Morley, J., Floridi, L., Kinsey, L., & Elhalal, A. (2020). From what to how: An initial review of publicly available AI ethics tools, methods and research to translate principles into practices. Science and Engineering Ethics, 26(4), 2141-2168.
Mustak, M., Jaakkola, E., Halinen, A., & Kaartemo, V. (2016). Customer participation management: Developing a comprehensive framework and a research agenda. Journal of Service Management, 27(3), 250-275.
Myers, M., & Klein, H. (2011). A set of principles for conducting critical research in information systems. MIS Quarterly, 35(1), 17-36.
Naeli, M. (2022). A review of educational activities of leading countries in the field of information and communication technology to increase the competencies of digital quotient at basic ages. Tehran: CyberSpace Research Institute. (In Persian)
Nishant, R., Kennedy, M., & Corbett, J. (2020). Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda. International Journal of Information Management, (53), Article 102104.
Nussbaum, M. (2011). Creating capabilities: the human development approach. Cambridge: Harvard university Press.
Oosterlaken, I., & van den Hoven, J. (2012). The capability approach, technology and design. Dordrecht, Netherlands: Springer.
Rhim, J., Lee, G., & Lee, J. (2020). Human moral reasoning types in autonomous vehicle moral dilemma: A cross-cultural comparison of Korea and Canada. Computers in Human Behavior, (102), 39-56.
Sarker, M., Wu, M., Cao, Q., Alam, G., & Li, D. (2019). Leveraging digital technology for better learning and education:A systematic literature review. International journal of Information and Education Technology, 9(7), 453-461.
Schappert, M., & von Hauff, M. (2020). Sustainable consumption in the smart grid: From key points to eco-routine. Journal of Cleaner Production, (267), Article 121585.
Sen, A. (2009). The idea of justice. London: Allen Lane.
Stahl, B. (2008). The ethical nature of critical research in information systems. Informations systems Journal, (18), 137-163.
Stahl, B. (2021). Artificial Intelligence for a Better Future, An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies. city: Springer.
Sutton, S., Arnold, V., & Holt, M. (2018). How much automation is too much? Keeping the human relevant in knowledge work. Journal of Emerging Technologies in Accounting, 15(2), 15-25.
Urquhart, L., Schnadelbach, H., & Jager, N. (2019). Adaptive Architecture: Regulating human building interaction. International Review of Law, Computers & Technology, 33(1), 3-33.
van den Hoven, J. (2010). The use of normative theories in computer ethics. In L. Floridi, The Cambridge handbook of information and computer ethics (pp. 59-76). UK: Cambridge University Press.
Von Schomberg, R. (2013). A vision of responsible research and innovation. In R. Owen, M. Heintz, & J. Bessant, Responsible innovation (pp. 51-74). London: John Wiley.
Wang, G. (2019). Humans in the Loop: The Design of interactive AI Systems. Journal of Artificial Intelligence Research, (64), 243-252.
Yoon, S., Choi, T., Odlum, M., Mitchell, D., & Kronish, I. (2018). Machine learning to identify behavioral determinants of oral health in inner city older Hispanic adults. Stud Health Technol Inform, 251(1), 253-256.
Zadyusefi, A. H. (2021). Artificial intelligence and responsibility gap. Tehran: CyberSpace Research Institute. (In Persian)