Ethics of Using AI in Academics: A Case Study Among Informatics Students at Citra Bangsa University
Abstract
The advancement of Artificial Intelligence (AI) has penetrated the academic field, offering ease in learning processes and task completion. However, ethical concerns regarding its use arise. This study aims to analyze the awareness and ethical perspective of Informatics students at Universitas Citra Bangsa towards AI usage. A total of 30 students from semesters 2, 4, and 6 participated by filling out a questionnaire. The results show a high level of interest in using AI tools responsibly and a strong demand for formal ethical guidance from the university. The research concludes that ethical education related to AI is essential and should be integrated into the academic curriculum.
Keywords
Full Text:
PDFReferences
Floridi, L., & Cowls, J. (2021). A unified framework of five principles for AI in society. *Harvard Data Science Review*.
Jobin, A., Ienca, M., & Vayena, E. (2020). The global landscape of AI ethics guidelines. *Nature Machine Intelligence*, 2(2), 73-81.
Hagendorff, T. (2020). The ethics of AI ethics: An evaluation of guidelines. *Minds and Machines*, 30(1), 99-120.
Mittelstadt, B. (2021). Principles alone cannot guarantee ethical AI. *Nature Machine Intelligence*, 3(2), 110-115.
Schiff, D., Borenstein, J., Biddle, J., & Laas, K. (2021). What's next for AI ethics, policy, and governance?. *Science and Engineering Ethics*, 27(1), 1-19.
Fjeld, J., Achten, N., Hilligoss, H., Nagy, A., & Srikumar, M. (2020). Principled artificial intelligence. *Berkman Klein Center*.
UNESCO. (2021). *Recommendation on the Ethics of Artificial Intelligence*.
IEEE. (2020). *Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems*.
Whittlestone, J., Nyrup, R., Alexandrova, A., & Cave, S. (2021). The role and limits of principles in AI ethics: Towards a focus on tensions. *Proceedings of the AAAI/ACM Conference*.
Cath, C. (2020). Governing artificial intelligence: Ethical, legal and technical opportunities and challenges. *Philosophical Transactions of the Royal Society*.
Greene, D., Hoffmann, A. L., & Stark, L. (2020). Better, nicer, clearer, fairer: A critical assessment of the movement for ethical artificial intelligence and machine learning. *Proceedings of the 2020 Conference on Fairness*.
Taddeo, M., & Floridi, L. (2021). How AI can be a force for good. *Science*, 361(6404), 751-752.
Zeng, Y., Lu, E., & Huangfu, C. (2021). Linking Artificial Intelligence Principles. *Proceedings of the AAAI*.
Siau, K., & Wang, W. (2020). Building trust in artificial intelligence, machine learning, and robotics. *Cutter Business Technology Journal*.
Raji, I. D., & Buolamwini, J. (2020). Actionable auditing: Investigating the impact of publicly naming biased performance results of commercial AI products. *Proceedings of the 2020 Conference on Fairness*.
DOI: http://dx.doi.org/10.58258/jupe.v10i2.8855
Refbacks
- There are currently no refbacks.
Copyright (c) 2025 Yulce Getruida Toulay

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
JUPE: Jurnal Pendidikan Mandala (p-issn: 2548-5555;e-issn: 2656-6745) is licensed under a Lisensi Creative Commons Atribusi-BerbagiSerupa 4.0 Internasional.
Jurnal ini diterbitkan oleh Lembaga Penelitian dan Pendidikan (LPP) Mandala.
Alamat: Jl. Lingkar Selatan, Perum Elit kota Mataram Asri Blok O. No. 35, Jempong Baru, Sekarbela, Kota Mataram NTB. Indonesia