Analisis Etika Penggunaan AI dalam Layanan E-Counseling: Perspektif Konselor Bersertifikat
DOI:
https://doi.org/10.59944/jipsi.v5i1.767Keywords:
AI ethics, e-counseling, certified counselors, data privacy, informed consent, algorithmic bias, accountability, SLRAbstract
The development of artificial intelligence (AI) in e-counseling services presents both opportunities and significant ethical challenges. Certified counselors are on the front lines in addressing the ethical dilemmas arising from the integration of AI technology into professional counseling practice. This Systematic Literature Review (SLR) aims to analyze and synthesize 25 internationally reputable journals (indexed in Scopus, Web of Science, and other reputable publishers) that discuss the ethical aspects of AI use in E-Counseling services from the perspective of certified counselors. The study identified six key ethical issues: (1) client privacy and data confidentiality, (2) informed consent in AI-client interactions, (3) algorithmic bias and fairness, (4) transparency and accountability of AI systems, (5) client autonomy versus dependence on AI, and (6) the professional competence of counselors in supervising AI. These findings are expected to serve as a scientific foundation for the development of AI ethics guidelines in counseling practice in Indonesia. The PRISMA-C ethical framework proposed in this study is expected to serve as a practical guide for certified counselors in Indonesia in responsibly adopting AI technology, as well as to provide input for the development of ABKIN’s digital code of ethics.
References
Technology, 8(4), 14–24. https://doi.org/https://doi.org/10.32628/CSEIT2283112
Crandall, A., Hanson, C. L., Magnusson, B. M., B., & M. D. Novilla, M. L. (2023). Counselor preparedness and digital mental health: a national survey of certified counselors. Journal of Counseling & Development, 101(3), 265–276. https://doi.org/17.https://doi.org/10.1002/jcad.12473
Darcy, A. M., Daniels, J. Luo, A., Burden, R., & Noel, V. (2021). Evidence of human-level bonds established with a digital conversational agent: cross-sectional, retrospective observational study. JMIR Formative Research, 5(5), E27868. https://doi.org/https://doi.org/10.2196/27868
Floridi, L., Cowls, J., & Beltrametti, M. (2018). An ethical framework for a good AI society: opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/https://doi.org/10.1007/s11023-018-9482-5
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/9.https://doi.org/10.1038/s42256-019-0088-2
Lemos, M. L. A., de Freitas, A. C., & Gonçalves, A. (2023). Artificial intelligence in psychotherapy: perspectives and ethical considerations for therapists and clients. Frontiers in Psychology, 14, 1237252. https://doi.org/18.https://doi.org/10.3389/fpsyg.2023.1237252
Lupton, D. (2022). The digitally engaged patient: self-monitoring and self-care in the digital health era. Social Theory & Health, 20(3), 215–230. https://doi.org/21.https://doi.org/10.1057/s41285-021-00178-6
Luxton, D. D. (2020). Recommendations for the ethical use and design of artificial intelligent mental health care technologies. Psychological Services, 17(3), 357–363. https://doi.org/https://doi.org/10.1037/ser0000233
Martinez-Martin, N, D., & I., Carter, A. (2020). Ethics of digital mental health during COVID-19: crisis and opportunity. JMIR Mental Health, 7(8), E20879. https://doi.org/10.https://doi.org/10.2196/20879
Meadi, R., M., S., T., M., S., van B., A., B. J., & Batelaan, N. (2025). Exploring the ethical challenges of conversational AI in mental health care: scoping review. JMIR Mental Health, 12, E60432. https://doi.org/https://doi.org/10.2196/60432
Miner, A. S., Shah, N., D., B. K., Arnow, B. A., Bailenson, J., & Hancock, J. (2019). Key considerations for incorporating conversational AI in psychotherapy. Frontiers in Psychiatry, 10, 746. https://doi.org/https://doi.org/10.3389/fpsyt.2019.00746
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: mapping the debate. Big Data & Society, 3(2), 1–21. https://doi.org/https://doi.org/10.1177/2053951716679679
Molina, M. D., & Sundar, S. S. (2022). Can AI be a fair witness to itself? Transparency and ethics of algorithmic AI systems. Computers in Human Behavior, 131, 107192. https://doi.org/https://doi.org/10.1016/j.chb.2022.107192
Murdoch, B. (2021). Privacy and artificial intelligence: challenges for protecting health information in a new era. BMC Medical Ethics, 22(1), 122. https://doi.org/8.https://doi.org/10.1186/s12910-021-00687-3
Pillay, Y. (2025). Ethical decision-making guidelines for mental health clinicians in the artificial intelligence (AI) era. Healthcare, 13(23), 3057. https://doi.org/https://doi.org/10.3390/healthcare13233057
Saeidnia, H. R., Fotami, H., S. G., Lund, B., & Ghiasi, N. (2024). Ethical considerations in artificial intelligence interventions for mental health and well-being: ensuring responsible implementation and impact. Social Sciences (MDPI), 13(7), 381. https://doi.org/https://doi.org/10.3390/socsci13070381
Shum, H.-Y., He, X.-D., & Li, D. (2018). From Eliza to XiaoIce: challenges and opportunities with social chatbots. Frontiers of Information Technology & Electronic Engineering, 19(1), 10–26. https://doi.org/https://doi.org/10.1631/FITEE.1700826
Sivan, A., & Zukarnain, Z. A. (2021). Privacy and data protection in AI-powered mental health systems: a review. International Journal of Advanced Computer Science and Applications, 12(8), 456–463. https://doi.org/25.https://doi.org/10.14569/IJACSA.2021.0120851
Stahl, B. C., & Wright, D. (2018). Ethics and privacy in AI and big data: implementing responsible research and innovation. IEEE Security & Privacy, 16(3), 26–33. https://doi.org/https://doi.org/10.1109/MSP.2018.2701164
Vaidyam, A. N., H., W., D., H. J., Kashavan, M. S., & Torous, J. (2019). Chatbots and conversational agents in mental health: a review of the psychiatric landscape. The Canadian Journal of Psychiatry, 64(7), 456–464. https://doi.org/6.https://doi.org/10.1177/0706743719828977
Vilaza, G. N., & McCashin, D. (2021). Is the automation of digital mental health ethical? Applying an ethical framework to chatbots for cognitive behaviour therapy. Frontiers in Digital Health, 3, 689736. https://doi.org/https://doi.org/10.3389/fdgth.2021.689736

























