Acta Informatica Pragensia X:X | DOI: 10.18267/j.aip.30874

Ethical Application of Artificial Intelligence in the Contemporary Information Society: A Scoping Review

Marija Ku¹telega ORCID..., Renata Mekovec ORCID...
Department for Information Systems Development, Faculty of Organization and Informatics, University of Zagreb, Varazdin, Croatia

Background: Artificial intelligence (AI) has become a fundamental part of everyday life, making it crucial to integrate AI into the information society in ways that protect individual rights.

Objective: This study explores the perspectives of different stakeholders on the ethical use of AI. The aim of this research is to identify practical measures that can help address ethical challenges associated with AI deployment.

Methods: A scoping literature review approach was adopted, focusing on the most relevant articles addressing the ethical aspects of AI usage from Web of Science Core Collection and Scopus databases. The analysis was performed with focus on the perspectives of four key stakeholders: policymakers, AI innovators, business leaders, and individuals.

Results: Findings highlight key measures to promote ethical AI usage: technical, organisational, regulatory, and individual measures. In this context: (1) policymakers are responsible for establishing governance and regulations; (2) AI innovators must embed ethics into AI systems; (3) business leaders should establish ethical policies and guidelines; and (4) individuals need to think critically and use AI responsibly.

Conclusion: The responsible deployment of AI requires a comprehensive approach that involves the collaboration of all relevant stakeholders. The future development of AI relies on the adoption of ethical guidelines and the assurance of responsible AI system design.

Keywords: Artificial intelligence; AI; Ethics; Information society; Stakeholders; Review.

Received: September 10, 2025; Revised: February 17, 2026; Accepted: February 19, 2026; Prepublished online: April 13, 2026 

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    References

    1. Adel, A., Ahsan, A., & Davison, C. (2024). ChatGPT promises and challenges in education: Computational and ethical perspectives. Education Sciences, 14(8), 814. https://doi.org/10.3390/educsci14080814 Go to original source...
    2. Aguila, C. I. G., Arellano, M. D. P. C., Castro, M. D. P. Q., Mondragón, E. M. B., & Castro, G. A. Q. (2024). Examining Artificial Intelligence and Law as a Tool for Legal Service, Decision-making, Job Transformation, and Ethical Performance. Journal of Internet Services and Information Security, 14(3), 99-115. https://doi.org/10.58346/JISIS.2024.I3.006 Go to original source...
    3. Alderson, M. (2026). Two kinds of AI users are emerging. The gap between them is astonishing. https://martinalderson.com/posts/two-kinds-of-ai-users-are-emerging/
    4. Al-kfairy, M. (2025). Strategic integration of generative AI in organizational settings: Applications, challenges and adoption requirements. IEEE Engineering Management Review, 53(6), 80-97. https://doi.org/10.1109/EMR.2025.3534034 Go to original source...
    5. Alves, M., Seringa, J., Silvestre, T., & Magalhães, T. (2024). Use of Artificial Intelligence tools in supporting decision-making in hospital management. BMC Health Services Research, 24(1), 1282. https://doi.org/10.1186/s12913-024-11602-y Go to original source...
    6. Benabou, A., & Touhami, F. (2025). Artificial Intelligence in Human Resource Management: A PRISMA-based Systematic Review. Acta Informatica Pragensia, 14(3), 489-505. https://doi.org/10.18267/j.aip.264 Go to original source...
    7. Bruneault, F., & Laflamme, A. S. (2021). AI Ethics: how can information ethics provide a framework to avoid usual conceptual pitfalls? An Overview. Ai & Society, 36(3), 757-766. https://doi.org/10.1007/s00146-020-01077-w Go to original source...
    8. CAIS. (2024) Statement on AI risk. Center for AI Safety. https://www.safe.ai/statement-on-ai-risk
    9. Cave, S., Coughlan, K., & Dihal, K. (2019). " Scary Robots" Examining Public Responses to AI. In Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society (pp. 331-337). ACM. https://doi.org/10.1145/3306618.3314232 Go to original source...
    10. de-Lima-Santos, M. F., & Jamil, S. (2024). Bridging the AI divide: human and responsible AI in news and media industries. Emerging Media, 2(3), 335-346. https://doi.org/10.1177/27523543241291229 Go to original source...
    11. Deshpande, A., & Sharp, H. (2022). Responsible AI systems: who are the stakeholders?. In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (pp. 227-236). ACM. https://doi.org/10.1145/3514094.3534187 Go to original source...
    12. Du, S., & Xie, C. (2021). Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities. Journal of Business Research, 129, 961-974. https://doi.org/10.1016/j.jbusres.2020.08.024 Go to original source...
    13. Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). Opinion Paper:"So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International journal of information management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642 Go to original source...
    14. Emmert-Streib, F. (2021). From the digital data revolution toward a digital society: Pervasiveness of artificial intelligence. Machine Learning and Knowledge Extraction, 3(1), 284-298. https://doi.org/10.3390/make3010014 Go to original source...
    15. European Commission. (2019). Ethics guidelines for trustworthy AI. Publications Office. https://data.europa.eu/doi/10.2759/346720
    16. Fenwick, A., Molnar, G., & Frangos, P. (2024). The critical role of HRM in AI-driven digital transformation: a paradigm shift to enable firms to move from AI implementation to human-centric adoption. Discover Artificial Intelligence, 4(1), 34. https://doi-org.ezproxy.nsk.hr/10.1007/s44163-024-00125-4 Go to original source...
    17. Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1), 1-14. https://doi.org/10.1162/99608f92.8cd550d1 Go to original source...
    18. Fosso Wamba, S., Bawack, R. E., Guthrie, C., Queiroz, M. M., & Carillo, K. D. A. (2020). Are we preparing for a good AI society? A bibliometric review and research agenda. Technological Forecasting and Social Change, 164, 120482. https://doi.org/10.1016/j.techfore.2020.120482 Go to original source...
    19. Gillespie, N., Lockey, S., Curtis, C., Pool, J., & Akbari, A. (2023). Trust in artificial intelligence: A global study. The University of Queensland and KPMG Australia. https://doi.org/10.14264/00d3c94 Go to original source...
    20. Gupta, M., Akiri, C., Aryal, K., Parker, E., & Praharaj, L. (2023). From ChatGPT to ThreatGPT: Impact of generative ai in cybersecurity and privacy. IEEE Access, 11, 80218-80245. https://doi.org/10.1109/ACCESS.2023.3300381 Go to original source...
    21. Gursoy, D., Baºer, G., & Chi, C. G. (2025). Corporate digital responsibility: navigating ethical, societal, and environmental challenges in the digital age and exploring future research directions. Journal of Hospitality Marketing & Management, 34(3), 305-324. https://doi.org/10.1080/19368623.2025.2465634 Go to original source...
    22. Heyder, T., Passlack, N., & Posegga, O. (2023). Ethical management of human-AI interaction: Theory development review. Journal of Strategic Information Systems, 32(3), 101772. https://doi.org/10.1016/j.jsis.2023.101772 Go to original source...
    23. Iphofen, R., & Kritikos, M. (2021). Regulating artificial intelligence and robotics: ethics by design in a digital society. Contemporary Social Science, 16(2), 170-184. https://doi.org/10.1080/21582041.2018.1563803 Go to original source...
    24. Jeskanen-Sundström, H. (2003). ICT Statistics at the New Millennium-Developing Official Statistics-Measuring the Diffusion of ICT and its Impact. International Statistical Review, 71(1), 5-15. https://doi.org/10.1111/j.1751-5823.2003.tb00181.x Go to original source...
    25. Johnson, D. G., & Verdicchio, M. (2017). Reframing AI discourse. Minds and Machines, 27(4), 575-590. https://doi.org/10.1007/s11023-017-9417-6 Go to original source...
    26. Kelley, P. G., Yang, Y., Heldreth, C., Moessner, C., Sedley, A., Kramm, A., ... & Woodruff, A. (2021). Exciting, useful, worrying, futuristic: Public perception of artificial intelligence in 8 countries. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (pp. 627-637). ACM. https://doi.org/10.1145/3461702.3462605 Go to original source...
    27. Lee, H. P., Yang, Y. J., Von Davier, T. S., Forlizzi, J., & Das, S. (2024). Deepfakes, phrenology, surveillance, and more! a taxonomy of ai privacy risks. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (pp. 1-19). ACM. https://doi.org/10.1145/3613904.3642116 Go to original source...
    28. Machucho, R., & Ortiz, D. (2025). The Impacts of Artificial Intelligence on Business Innovation: A Comprehensive Review of Applications, Organizational Challenges, and Ethical Considerations. Systems, 13(4), 264. https://doi.org/10.3390/systems13040264 Go to original source...
    29. Malik, N., Tripathi, S. N., Kar, A. K., & Gupta, S. (2022). Impact of artificial intelligence on employees working in industry 4.0 led organizations. International Journal of Manpower, 43(2), 334-354. https://doi.org/10.1108/IJM-03-2021-0173 Go to original source...
    30. Mäntymäki, M., Minkkinen, M., Birkstedt, T., & Viljanen, M. (2022). Defining organizational AI governance. AI and Ethics, 2(4), 603-609. https://doi.org/10.1007/s43681-022-00143-x Go to original source...
    31. Mehmood, B., Rehman, H., & Rizvi, S. H. H. (2014). From information society to knowledge society: The Asian perspective. Pakistan Journal of Information Management and Libraries, 15, 37-46. Go to original source...
    32. Mensah, G. B. (2023). Artificial Intelligence and Ethics: A Comprehensive Reviews of Bias Mitigation, Transparency, and Accountability in AI Systems. https://doi.org/10.13140/RG.2.2.23381.19685/1 Go to original source...
    33. Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Open Medicine, 3(2), 123-130. https://doi.org/10.1016/j.jclinepi.2009.06.005 Go to original source...
    34. 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. https://doi.org/10.1007/s11948-019-00165-5 Go to original source...
    35. Mora-López, J. P., Lopez-Lopez, D., & Rivera-Hernaez, O. (2025). Unveiling the Generative AI boom: what hype metrics reveal for digital business and E-commerce. Electronic Commerce Research, 26(2), 2423-2451. https://doi.org/10.1007/s10660-025-09984-0 Go to original source...
    36. Munk, A. K., Jacomy, M., Ficozzi, M., & Jensen, T. E. (2024). Beyond artificial intelligence controversies: What are algorithms doing in the scientific literature?. Big Data & Society, 11(3), 20539517241255107. https://doi.org/10.1177/20539517241255107 Go to original source...
    37. Paraman, P., & Anamalah, S. (2023). Ethical artificial intelligence framework for a good AI society: principles, opportunities and perils. AI & Society, 38(2), 595-611. https://doi.org/10.1007/s00146-022-01458-3 Go to original source...
    38. Peters, M. D., Godfrey, C. M., Khalil, H., McInerney, P., Parker, D., & Soares, C. B. (2015). Guidance for conducting systematic scoping reviews. JBI Evidence Implementation, 13(3), 141-146. https://doi.org/10.1097/XEB.0000000000000050 Go to original source...
    39. Roberts, H., Cowls, J., Hine, E., Mazzi, F., Tsamados, A., Taddeo, M., & Floridi, L. (2021). Achieving a 'Good AI Society': comparing the aims and progress of the EU and the US. Science and Engineering Ethics, 27(6), 68. https://doi.org/10.1007/s11948-021-00340-7 Go to original source...
    40. Sai, S., Sai, R., & Chamola, V. (2025). Generative AI for Industry 5.0: analyzing the impact of ChatGPT, DALLE, and other models. IEEE Open Journal of the Communications Society, 6, 3056-3066. https://doi.org/10.1109/OJCOMS.2024.3400161 Go to original source...
    41. Sargiotis, D. (2024). Ethical AI in information technology: Navigating bias, privacy, transparency, and accountability. Advances in Machine Learning & Artificial Intelligence, 5(3), 1-14. https://doi.org/10.33140/AMLAI.05.03.03 Go to original source...
    42. Saurabh, K., Arora, R., Rani, N., Mishra, D., & Ramkumar, M. (2022). AI led ethical digital transformation: Framework, research and managerial implications. Journal of Information, Communication and Ethics in Society, 20(2), 229-256. https://doi.org/10.1108/JICES-02-2021-0020 Go to original source...
    43. Sobrino-García, I. (2021). Artificial intelligence risks and challenges in the Spanish public administration: An exploratory analysis through expert judgements. Administrative Sciences, 11(3), 102. https://doi.org/10.3390/admsci11030102 Go to original source...
    44. Sun, W., Ren, S., & Tang, G. (2025). In the era of responsible artificial intelligence and digitalization: business group digitalization, operations and subsidiary performance. Annals of Operations Research, 354, 223-245. https://doi.org/10.1007/s10479-024-06453-z Go to original source...
    45. Tricco, A. C., Lillie, E., Zarin, W., O'Brien, K. K., Colquhoun, H., Levac, D., ... & Straus, S. E. (2018). PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Annals of Internal Medicine, 169(7), 467-473. https://doi.org/10.7326/M18-0850 Go to original source...
    46. Tuncalp, D. (2025). Directing the future: artificial intelligence integration in family businesses. Journal of Family Business Management, 15(2), 254-277. https://doi.org/10.1108/jfbm-03-2024-0051 Go to original source...
    47. UNESCO. (2022). Recommendation on the Ethics of Artificial Intelligence. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000381137
    48. Wach, K., Duong, C. D., Ejdys, J., Kazlauskaitė, R., Korzynski, P., Mazurek, G., ... & Ziemba, E. (2023). The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT. Entrepreneurial Business and Economics Review, 11(2), 7-30. https://doi.org/10.15678/EBER.2023.110201 Go to original source...
    49. Wang, C., Boerman, S. C., Kroon, A. C., Möller, J., & H de Vreese, C. (2024). The artificial intelligence divide: Who is the most vulnerable?. New Media & Society, 27(7), 3867-3889. https://doi.org/10.1177/14614448241232345 Go to original source...
    50. Weber-Lewerenz, B. (2021). Corporate digital responsibility (CDR) in construction engineering-ethical guidelines for the application of digital transformation and artificial intelligence (AI) in user practice. SN Applied Sciences, 3(10), 801. https://doi.org/10.1007/s42452-021-04776-1 Go to original source...
    51. Zhang, J., Shu, Y., & Yu, H. (2023). Fairness in design: A framework for facilitating ethical artificial intelligence designs. International Journal of Crowd Science, 7(1), 32-39. https://doi.org/10.26599/IJCS.2022.9100033 Go to original source...

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