Kohesi: Jurnal Sains dan Teknologi

Articles

Vol. 10 No. 7 (2025): Kohesi: Jurnal Sains dan Teknologi, ISSN 3025-1311

TANTANGAN ETIKA DALAM IMPLEMENTASI KECERDASAN BUATAN DAN PEMBELAJARAN MESIN: SYSTEMATIC LITERATURE REVIEW

Submitted
December 9, 2025
Published
2025-12-09

Abstract

The development of artificial intelligence and machine learning technologies has advanced rapidly over the past decade, yet their implementation presents a range of complex ethical challenges. This study aims to identify and analyze the main ethical challenges in the implementation of artificial intelligence and machine learning through a systematic literature review approach. The research methodology uses the PRISMA protocol with literature searches conducted in the IEEE Xplore, ACM Digital Library, ScienceDirect, Springer Link, and Google Scholar databases for the period 2018–2024. From 287 articles identified, 42 high-quality articles were selected for in-depth analysis.

The findings indicate that the primary ethical challenges include algorithmic bias and discrimination, data privacy and security, system transparency and explainability, and accountability in automated decision-making. Significant social impacts include job displacement, the digital divide, and information manipulation through deepfakes. The study also identifies various emerging ethical frameworks and risk-mitigation solutions that can be applied.

The conclusion highlights that responsible implementation of artificial intelligence requires a holistic approach that incorporates technical, legal, and social aspects, supported by collaboration among developers, regulators, and society.

References

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