فهرست منابع
زادیوسفی، امیرحسین (1400). هوش مصنوعی و شکاف مسئولیت. تهران: پژوهشگاه فضای مجازی.
کاظمی، علیرضا و مطلبی کربکندی، حسین (1400). اینترنت اشیاء اجتماعی: چشمانداز، فرصتها و چالشها. تهران: پژوهشگاه فضای مجازی.
نائلی، مینا (1401). مروری بر فعالیتهای آموزشی کشورهای پیشرو در حوزه فناوری اطلاعات و ارتباطات جهت افزایش صلاحیتهای هوش دیجیتال در سنین پایه. تهران: پژوهشگاه فضای مجازی.
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) (pp. 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.
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.
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.
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.