This study provides a new perspective on trust in artificial intelligence (AI), examining people's attitudes toward trust in the use of AI systems in particular. The aim of this study is to examine attitudes and to know what are the advantages and disadvantages of artificial intelligence (AI). Also, in addition to the empirical part, this paper also deals with theoretical knowledge about artificial intelligence, which is the basis of the existing literature. For the purposes of this research, the authors created a survey based on secondary sources. The survey was conducted on the entire territory of Serbia. The subject of this work is the examination of the attitudes and knowledge of the inhabitants of Serbia about artificial intelligence as well as its technologies, which focuses on a deeper understanding of the perceptions and attitudes of the public in Serbia about artificial intelligence.
Data curation, B.T. and M.P.; Methodology, B.T. and M.P.; Software, B.T.; Writing – original draft, B.T.; Writing – review & editing, B.T. and M.P.; Investigation, M.P.; Resources, M.P. All authors have read and agreed to the published version of the manuscript.
References
Balasubramanian, N., Ye, Y., & Xu, M. (2023). Substituting Human Decision-making With Machine Learning: Implications for Organizational Learning. Academy of Management Review, 47(3), 448–465. https://doi.org/10.2139/ssrn.4543450
Berente, N., Gu, B., Recker, J., & Santhanam, R. (2021). Managing artificial intelligence. MIS Quarterly, 3, 1433–1450. https://doi.org/10.25300/MISQ/2021/16274
Brynjolfsson, E., Liu, M., & Westerman, G. (2022). Do Computers Reduce the Value of Worker Persistence? Journal of Management Information Systems, 39(1), 41–67. https://doi.org/10.1080/07421222.2021.2023406
Brynjolfsson, E., & Mcafee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. New York, NY: WW Norton & Company Press.
Cunneen, M., Mullins, M., Murphy, F., Shannon, D., Furxhi, I., & Ryan, C. (2020). Autonomous vehicles and avoiding the trolley (dilemma): Vehicle perception, classification, and the challenges of framing decision ethics. Cybernetics and Systems, 1, 59–80.
Dawes, R. (2008). The robust beauty of improper linear models in decision making. Rationality and Social Responsibility. Psychology Press., 321–344.
Füller, J., Hutter, K., Wahl, J., Bilgram, V., & Tekic, Z. (2022). How AI revolutionizes innovation management – Perceptions and implementation preferences of AI-based innovators. Technological Forecasting and Social Change, 178, 121598. https://doi.org/10.1016/j.techfore.2022.121598
Gabriel, I. (2020). Artificial Intelligence, Values, and Alignment. Minds and Machines, 30(3), 411–437. https://doi.org/10.1007/s11023-020-09539-2
Gansser, O. A., & Reich, C. S. (2021). A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application. Technology in Society, 65, 101535. https://doi.org/10.1016/j.techsoc.2021.101535
Giray, L., Jacob, J., & Gumalin, D. L. (2024). Strengths, Weaknesses, Opportunities, and Threats of Using ChatGPT in Scientific Research. International Journal of Technology in Education, 7(1), 40–58. https://doi.org/10.46328/ijte.618
Gökçearslan, Ş., Tosun, C., & Erdemir, Z. G. (2024). Benefits, Challenges, and Methods of Artificial Intelligence (AI) Chatbots in Education: A Systematic Literature Review. International Journal of Technology in Education, 7(1), 19–39. https://doi.org/10.46328/ijte.600
Iansiti, M., & Lakhani, K. (2020). Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World. Harvard Business Review Press.
Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Gonzalez, E. S. (2022). Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability. Sustainable Operations and Computers, 3, 203–217. https://doi.org/10.1016/j.susoc.2022.01.008
Karaman, M. R., & Göksu, İ. (2024). Are Lesson Plans Created by ChatGPT More Effective? An Experimental Study. International Journal of Technology in Education, 7(1), 107–127. https://doi.org/10.46328/ijte.607
Köchling, A., & Wehner, M. C. (2020). Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development. Business Research, 13(3), 795–848. https://doi.org/10.1007/s40685-020-00134-w
Kraus, S., Durst, S., Ferreira, J. J., Veiga, P., Kailer, N., & Weinmann, A. (2022). Digital transformation in business and management research: An overview of the current status quo. International Journal of Information Management, 63, 102466. https://doi.org/10.1016/j.ijinfomgt.2021.102466
Lee, K. (2018). AI superpowers: China, Silicon Valley, and the new world order. Harper Business.
Lee, M. K. (2018). Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management. Big Data & Society, 5(1). https://doi.org/10.1177/2053951718756684
Lindebaum, D., Glaser, V., Moser, C., & Ashraf, M. (2022). When algorithms rule, values can wither. MIT Sloan Management Review, 2, 66–69.
Mabuan, R. A. (2024). ChatGPT and ELT: Exploring Teachers’ Voices. International Journal of Technology in Education, 7(1), 128–153. https://doi.org/10.46328/ijte.523
Malle, B. F. (2015). Integrating robot ethics and machine morality: the study and design of moral competence in robots. Ethics and Information Technology, 18(4), 243–256. https://doi.org/10.1007/s10676-015-9367-8
Maslej, N., Fattorini, L., Brynjolfsson, E., Etchemendy, J., Ligett, K., & Lyons, T. (2023). Artificial intelligence index report 2023. ArXiv Preprint ArXiv:2310.03715.
Mitchell, A. (2023). ChatGPT’s bias allows hate speech toward GOP, men:research.
Naqvi, A. (2020). Artificial intelligence for audit, forensic accounting, and valuation: a strategic perspective. John Wiley & Sons.
Perifanis, N.-A., & Kitsios, F. (2023). Investigating the Influence of Artificial Intelligence on Business Value in the Digital Era of Strategy: A Literature Review. Information, 14(2), 85. https://doi.org/10.3390/info14020085
Rai, A. (2019). Explainable AI: from black box to glass box. Journal of the Academy of Marketing Science, 48(1), 137–141. https://doi.org/10.1007/s11747-019-00710-5
Remian, D. (2019). Augmenting education: Ethical considerations for incorporating artificial intelligence in education.
Rindova, V. P., & Martins, L. L. (2023). Moral Imagination, the Collective Desirable, and Strategic Purpose. Strategy Science, 8(2), 170–181. https://doi.org/10.1287/stsc.2023.0190
Russell, S. (2019). Human Compatible: Artificial Intelligence and the Problem of Control.
Tong, S., Jia, N., Luo, X., & Fang, Z. (2021). The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance. Strategic Management Journal, 42(9), 1600–1631. https://doi.org/10.1002/smj.3322
van Houwelingen, G., & Stoelhorst, J. W. (2023). Digital Is Different: Digitalization Undermines Stakeholder Relations Because It Impedes Firm Anthropomorphization. Academy of Management Discoveries, 9(3), 297–319. https://doi.org/10.5465/amd.2021.0245
Vincent, J. (2023). People are begging to be disappointed and they will be. The Verge. .
Wilson, H., & Daugherty, P. (2018). Collaborative intelligence: Humans and AI are joining forces. Harvard Business Review, 4, 114–123.
Xu, J. (David), Benbasat, I., & Cenfetelli, R. T. (2014). The Nature and Consequences of Trade-Off Transparency in the Context of Recommendation Agents. MIS Quarterly, 38(2), 379–406. https://doi.org/10.25300/misq/2014/38.2.03
You, S., Yang, C. L., & Li, X. (2022). Algorithmic versus Human Advice: Does Presenting Prediction Performance Matter for Algorithm Appreciation? Journal of Management Information Systems, 39(2), 336–365. https://doi.org/10.1080/07421222.2022.2063553
Zhang, B., Anderljung, M., Kahn, L., Dreksler, N., Horowitz, M. C., & Dafoe, A. (2021). Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers. Journal of Artificial Intelligence Research, 71. https://doi.org/10.1613/jair.1.12895
The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.
,
