Attitudes towards artificial intelligence in professional and personal life
https://doi.org/10.17853/1994-5639-2025-2-159-174
Abstract
Introduction. Digital competence is seen as key to employment, education, and social domains in the 21st century. At the same time, there is no universal framework for studying attitudes towards artificial intelligence (AI) and its use in professional and personal life. Aim. The aim of the present research is to outline respondents’ attitudes towards the benefits and threats of AI that may facilitate or hinder the process of intelligent AI integration into different aspects of life. Methodology and research methods. This article outlines results from a pilot study of attitudes towards AI, conducted with a sample of 125 Bulgarian students and professionals. The research design is mixed (quantitative and qualitative) and includes questionnaire, focus groups and interviews. Results and scientific novelty. The results reveal that both young people and adults base their opinions on their assessment of AI performance and find positive implications in terms of facilitating task performance, but have strong reservations concerning job security and the use of AI in the social sphere. They also suggest that AI skills need to become integrated into education. Future research directions highlighted include differentiating between educational, professional, and personal domains and self-assessing digital literacy from an evidence-based vs. state of the art perspective. Practical significance. Insights from this study focus on mindful mindset, educational settings and the redesign of educational content, particularly forms of critical engagement and use of AI.
About the Authors
M. Y. Tsenov
Sofia University St. Kliment Ohridski
Bulgaria
Bulgaria
Martin Y. Tsenov – Chief Assistant, Professor, Faculty of Educational Studies and the Arts
ResearcherID KFR-1904-202419
Sofia
M. A. Bakracheva
Sofia University St. Kliment Ohridski
Bulgaria
Bulgaria
Margarita A. Bakracheva – Dr. Sci. (Psychology), Professor, Faculty of Educational Studies and the Arts
ResearcherID AAL-2154-2021
Sofia
References
1. Vuorikari R., Kluzer S., Punie Y. DigComp 2.2: The Digital Competence Framework for Citizens – With New Examples of Knowledge, Skills and Attitudes. Luxembourg: Publications Office of the European Union; 2022. doi:10.2760/115376
2. Chen M., Zhou C., Meng C., Wu D. How to promote Chinese primary and secondary school teachers to use ICT to develop high-quality teaching activities. Educational Technology Research and Development. 2019;67:1593–1611. doi:10.1007/s11423-019-09677-0
3. EC. Ethical Guidelines on the Use of Artificial Intelligence and Data in Teaching and Learning for Educators. 2022. doi:10.2766/760081
4. World Bank. The Vital Role of Digital Skills in Building an Inclusive, Smart, Safe, and Sustainable Digital Economy. 2023;8. Accessed August 22, 2023. https://thedocs.worldbank.org/en/doc/bb8df-6fa28c514bf846d1ddc2cbef2a1-0140022023/related/December-2023-Digital-Skills-Skills4Dev.pdf
5. García R.C., Buzón-García O., De Paz-Lugo P. Improving future teachers’ digital competence using active methodologies. Sustainability. 2020;12(18):7798. doi:10.1186/s41239-022-00376-0
6. Van Laar E., Van Deursen A.J.A.M., Van Dijk J.A.G.M., De Haan J. The relation between 21st century skills and digital skills: a systematic literature review. Computers in Human Behavior. 2017;72:577– 588. doi:10.1016/j.chb.2017.03.010
7. Kieslich K., Lünich M., Marcinkowski F. The Threats of Artificial Intelligence Scale (TAI): development, measurement and test over three application domains. International Journal of Social Robotics. 2021;13. doi:10.1007/s12369-020-00734-w
8. Stone P., Brooks R., Brynjolfsson E., Calo R., Etzioni O., Hager G., et al. Artificial intelligence and life in 2030. In: Proceedings of the One Hundred Year Study on Artificial Intelligence: Report of the 2015–2016. Stanford, CA: Stanford University; 2016. Accessed August 22, 2023. http://ai100.stanford.edu/2016-report
9. Kok J.N., Boers E.J., Kosters W.A., Van Der Putten P., Poel M. Artificial intelligence: definition, trends, techniques, and cases. In: Knowledge for Sustainable Development: An Insight into the Encyclopedia of Life Support Systems. Eolss Publishers; 2009:1095–1107.
10. Fehler W. Sztuczna inteligencja – szansa czy zagro˙ zenie? Studia Bobolanum. 2017;3(28):69–83. (In Polish)
11. Zheng N., Liu Z., Ren P., Ma Y., Chen S., Yu S., Xue J., Chen B., Wang F. Hybrid-augmented intelligence: collaboration and cognition. Frontiers of Information Technology & Electronic Engineering. 2017;18(2):153–179. doi:10.1631/fitee.1700053
12. Suh W., Ahn S. Development and validation of a scale measuring student attitudes toward artificial intelligence. SAGE Open. 2022;12(2). doi:10.1177/21582440221100463
13. Shandilya E., Fan M. Understanding older adults’ perceptions and challenges in using ai-enabled everyday technologies. In: Proceedings of the Tenth International Symposium of Chinese CHI (Chinese CHI ‘22). New York, NY, USA: Association for Computing Machinery; 2024:105–116. doi:10.1145/3565698.3565774
14. Bochniarz K., Czerwiński S., Sawicki A., Atroszko P. Attitudes to AI among high school students: understanding distrust towards humans will not help us understand distrust towards AI. Personality and Individual Differences. 2021;118:111299. doi:10.1016/j.paid.2021.111299
15. Nazaretsky T., Ariely M., Cukurova M., Alexandron G. Teachers’ trust in AI-powered educational technology and a professional development program to improve it. British Journal of Educational Technology. 2022;53. doi:10.1111/bjet.13232
16. Sindermann C., Sha P., Zhou M., Wernicke J., Schmitt H., Li M., et al. Assessing the attitude towards artificial intelligence: introduction of a short measure in German, Chinese, and English language. Künstliche Intelligenz. 2021;35:109–118. doi:10.1007/s13218-020-00689-0
17. Nussberger A.M., Luo L., Celis L.E., Crockett M.J. Public attitudes value interpretability but prioritize accuracy in Artificial Intelligence. Nature Communications. 2022;13:5821. doi:10.1038/s41467-022-33417-3
18. Neudert A.K., Philip N.H. Global Attitudes Towards AI, Machine Learning & Automated Decision Making. Working paper 2020. Oxford, UK: Oxford Commission on AI & Good Governance; 2020. Accessed August 22, 2023. https://oxcaigg.oii.ox.ac.uk
19. Schepman A., Rodway P. Initial validation of the general attitudes towards Artificial Intelligence Scale. Computers in Human Behavior Reports. 2020;1(2):100014. doi:1016/j.chbr.2020.100014
20. Arsenault A. Microtargeting, Automation, and Forgery: Disinformation in the Age of Artificial Intelligence. 2020. Major Research Paper. US: University of Ottawa; 2020. Accessed August 22, 2023. https://ruor.uottawa.ca/bitstream/10393/40495/1/ARSENAULT%2C%20Amelia_20201%20-%20WEB.pdf
21. Schepman A., Rodway P. The General Attitudes towards Artificial Intelligence Scale (GAAIS): confirmatory validation and associations with personality, corporate distrust, and general trust. International Journal of Human-Computer Interaction. 2022;39(13):2724–2741. doi:10.1080/10447318.2022.2085400
22. Blagoycheva H. Изкуствен интелект и корпоративна социална отговорност – сблъсък и нови възможности = The human resources of the organization in the context of the concept of corporate social responsibility. Известия. Списание на Икономически университет – Варна = Izvestiya. Journal of Economics, Management and Informatics, University of Economics Varna. 2021;65(1):55–69. (In Bulgarian) Accessed August 22, 2023. https://journal.ue-varna.bg/uploads/20210804082122_492378992610a4e027cc05.pdf
23. Stein J.P., Messingschlager T., Gnambs T., Hutmacher F., Appel M. Attitudes towards AI: measurement and associations with personality. Scientific Reports. 2024;14. doi:10.1038/s41598-024-53335-2
24. Park J., Woo S., Kim J. Attitudes towards artificial intelligence at work: scale development and validation. Journal of Occupational and Organizational Psychology. 2024;97(3). doi:10.1111/joop.12502
25. Lichtenthaler U. Extremes of acceptance: employee attitudes toward artificial intelligence. Journal of Business Strategy. 2020;41(5):39–45. doi:10.1108/JBS-12-2018-0204
26. Bergdahl J., Latikka R., Celuch M., Savolainen I., Soares Mantere E., Savela N., Oksanen A. Self-determination and attitudes toward artificial intelligence: cross-national and longitudinal perspectives. Telematics and Informatics. 2023;82:102013. doi:10.1016/j.tele.2023.102013
27. Pokrivcakova S. Pre-service teachers’ attitudes towards artificial intelligence and its integration into EFL teaching and learning. Journal of Language and Cultural Education. 2024;11:100–114. doi:10.2478/jolace-2023-0031
28. Kim N.J., Kim M.K. Teacher’s perceptions of using an artificial intelligence-based educational tool for scientific writing. Frontiers in Education. 2022;7:755914. doi:10.3389/feduc.2022.755914
29. Simuț R., Simuț V., Bădulescu D., Bădulescu A. Artificial Intelligence and the modelling of teachers’ competencies. Amfiteatru Economic. 2024;26(65):181–200. doi:10.24818/EA/2024/65/181
30. Duong N.T., Pham Thi T.D. How does AI recruitment influence satisfaction among student job-seekers? The role of self-efficacy as a moderator and mediator. Obrazovanie i nauka = The Education and Science Journal. 2022;24(8):64–94. doi:10.17853/1994-5639-2022-8-64-94
31. Kushkin N.A., Timofeyeva O.A. Co-author, assistant, muse, tool: how students, teachers and creative workers see the role of AI in their practices. Monitoring of Public Opinion: Economic and Social Changes. 2024;5:60–84. doi:10.14515/monitoring.2024.у5.2604
32. Cojean S., Brun L., Amadieu F., Dessus P. Teachers’ attitudes towards AI: what is the difference with non-AI technologies? In: Proceedings of the Annual Meeting of the Cognitive Science Society. 2023;45. Accessed August 22, 2023. https://escholarship.org/uc/item/0r55s1jb
Review
For citations:
Tsenov M.Y., Bakracheva M.A. Attitudes towards artificial intelligence in professional and personal life. The Education and science journal. 2025;27(2):159-174. (In Russ.) https://doi.org/10.17853/1994-5639-2025-2-159-174
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