AI dan Moralitas: Refleksi Etis dalam Filsafat Ilmu Pengetahuan

  • Rina Rohayati Universitas Pendidikan Indonesia, Bandung, Jawa Barat,  Indonesia
  • Yusuf Tri Herlambang Universitas Pendidikan Indonesia, Bandung, Jawa Barat,  Indonesia
DOI: https://doi.org/10.51169/ideguru.v10i3.1819

Abstrak

Perkembangan teknologi kecerdasan buatan (Artificial Intelligence/AI) di era Society 5.0 memberikan dampak signifikan terhadap berbagai aspek kehidupan manusia, terutama terkait dengan bias algoritma, privasi, autonomi, dan keadilan sosial. Penelitian ini bertujuan untuk menganalisis implikasi moral AI melalui pendekatan filsafat ilmu pengetahuan. Metode penelitian menggunakan pendekatan kualitatif deskriptif dengan studi pustaka yang berfokus pada analisis literatur terkait etika dalam perkembangan AI. Hasil penelitian menunjukkan bahwa dalam memastikan AI berfungsi dengan etis di era Society 5.0 diperlukan kerangka etis yang komprehensif dan humanis. Pengembangan AI yang bertanggung jawab dan berkelanjutan memerlukan penekanan pada prinsip dasar etika seperti keadilan, transparansi, akuntabilitas, dan tanggung jawab. Teori-teori etika seperti utilitarianisme, deontologi, dan virtue ethics memberikan panduan untuk memastikan bahwa AI digunakan secara adil, inklusif, dan bermanfaat bagi seluruh masyarakat. Penelitian ini juga menunjukkan bahwa penerapan AI yang tidak diiringi pertimbangan etis serta regulasi yang memadai dapat menimbulkan dampak negatif seperti memperburuk ketidaksetaraan sosial, merusak privasi individu, dan mengancam kebebasan pribadi.

Kata Kunci: kecerdasan buatan, etika AI, filosofi ilmu pengetahuan

Data Unduhan PDF

Data unduhan belum tersedia.
Diterbitkan
2026-01-09
Bagaimana cara mengutip:
Rohayati, R., & Herlambang, Y. T. (2026). AI dan Moralitas: Refleksi Etis dalam Filsafat Ilmu Pengetahuan. Ideguru: Jurnal Karya Ilmiah Guru, 10(3), 2326-2330. https://doi.org/10.51169/ideguru.v10i3.1819
Terbitan
Vol 10 No 3 (2025): Edisi September 2025
Bagian
Tinjauan Pustaka

Copyright (c) 2026 Rina Rohayati, Yusuf Tri Herlambang

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstrak viewed: 6 times
PDF downloaded: 0 times

Referensi

Binns, R. (2020). On the apparent conflict between individual and group fairness. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 514-524. https://doi.org/10.1145/3351095.3372864

Buolamwini, J., & Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. Proceedings of the 1st Conference on Fairness, Accountability, and Transparency, 77-91. https://doi.org/10.1145/3287560.3287596

Coeckelbergh, M. (2020). AI ethics. MIT Press. https://doi.org/10.7551/mitpress/12549.001.0001

European Commission. (2022). Ethics guidelines for trustworthy AI. Publications Office of the European Union. https://doi.org/10.2759/346720

Floridi, L. (2023). Ethics, governance, and policies in artificial intelligence. Springer. https://doi.org/10.1093/oso/9780198883098.001.0001

Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., & Vayena, E. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689-707. https://doi.org/10.1007/s11023-018-9482-5

Floridi, L., Cowls, J., King, T. C., & Taddeo, M. (2020). How to design AI for social good: Seven essential factors. Science and Engineering Ethics, 26(3), 1771-1796. https://doi.org/10.1007/s11948-020-00213-5

Fukuyama, M. (2018). Society 5.0: Aiming for a new human-centered society. Japan Spotlight, 27(5), 47-50. https://www.jef.or.jp/journal/pdf/220th_Special_Article_02.pdf

Huang, M. H., Rust, R. T., & Maksimovic, V. (2019). The feeling economy: Managing in the next generation of artificial intelligence. California Management Review, 61(4), 43-65. https://doi.org/10.1177/0008125619863436

Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389-399. https://doi.org/10.1038/s42256-019-0088-2

Leslie, D. (2019). Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector. The Alan Turing Institute. https://doi.org/10.5281/zenodo.3240529

Mehrabi, N., Morstatter, F., Saxena, N., Lerman, K., & Galstyan, A. (2021). A survey on bias and fairness in machine learning. ACM Computing Surveys, 54(6), 1-35. https://doi.org/10.1145/3457607

Mittelstadt, B. D. (2019). Principles alone cannot guarantee ethical AI. Nature Machine Intelligence, 1(11), 501-507. https://doi.org/10.1038/s42256-019-0114-4

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/10.1177/2053951716679679

Murdayatin, S., Sunaryo, W., & Rokhman, F. (2023). Implementasi Society 5.0 dalam pendidikan di Indonesia. Jurnal Pendidikan dan Kebudayaan, 8(1), 1-15. https://doi.org/10.24832/jpnk.v8i1.3215

Nuryani, A., Suherman, D., & Pratama, R. (2019). Dimensi aksiologis dalam penerapan teknologi kecerdasan buatan. Jurnal Filsafat Indonesia, 2(3), 145-158. https://doi.org/10.23887/jfi.v2i3.22154

OECD. (2021). OECD principles on artificial intelligence. OECD Publishing. https://doi.org/10.1787/eedfee77-en

Oktavian, R., Sari, M., & Wijaya, H. (2024). Pemanfaatan kecerdasan buatan dalam pembelajaran personalisasi. Jurnal Teknologi Pendidikan, 12(1), 45-62. https://doi.org/10.24114/jtp.v12i1.41235

Permana, A., Kusuma, B., & Hartono, S. (2024). Metodologi penelitian kualitatif dalam kajian etika teknologi. Jurnal Metodologi Penelitian, 5(2), 78-95. https://doi.org/10.31629/jmp.v5i2.5123

Raji, I. D., Smart, A., White, R. N., Mitchell, M., Gebru, T., Hutchinson, B., & Barnes, P. (2020). Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 33-44. https://doi.org/10.1145/3351095.3372873

Saskirana, D. (2020). Dilema etis dalam perkembangan kecerdasan buatan: Perspektif filsafat. Jurnal Filsafat dan Pemikiran, 10(2), 112-130. https://doi.org/10.15408/jfp.v10i2.15634

Taraya, R., & Wibawa, B. (2022). Etika dan tanggung jawab moral dalam pengembangan AI: Tinjauan kritis. Jurnal Teknologi dan Masyarakat, 8(3), 201-218. https://doi.org/10.21009/jtm.v8i3.24156

Ton, P., & Naklui, S. (2024). Transformasi nilai spiritual dan sosial dalam era Society 5.0. Asian Journal of Social Sciences, 15(2), 89-106. https://doi.org/10.1016/j.ajss.2024.02.008

Vallor, S. (2016). Technology and the virtues: A philosophical guide to a future worth wanting. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780190498511.001.0001

Vallor, S. (2022). The AI mirror: How to reclaim our humanity in an age of machine thinking. Oxford University Press. https://doi.org/10.1145/3514094.3539567

Wilson, H., Daugherty, P., & Morini-Bianzino, N. (2024). The ethics of artificial intelligence in business: A comprehensive framework. Journal of Business Ethics, 189(1), 25-48. https://doi.org/10.1007/s10551-024-05612-7

Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs. https://doi.org/10.1177/1095796020941868

Memperbanyak baca artikel dari penulis yang sama

1 2 > >>