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All Journal Jurnal Media Infotama JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Pseudocode JSAI (Journal Scientific and Applied Informatics) Journal of Technopreneurship and Information System (JTIS) Jurnal Ilmu Komputer Dan Informatika JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Jurnal Komputer, Informasi dan Teknologi
Andi Lala
Universitas Muhammadiyah Bengkulu
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Other

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Analisis Pengembangan Perangkat Lunak Berbasis AI (Gemini) Menggunakan Penerapan ACM Code of Ethics Rexcy Elsan; Andi Lala; RG. Guntur Alam
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 2 (2025): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i2.7811

Abstract

This research aims to analyze the application of the ACM Code of Ethics in the development of AI Gemini software by Google DeepMind. With the development of artificial intelligence (AI) technology, developers need to pay attention to ethical aspects in every stage of system development. This research uses a qualitative approach with a data triangulation method, which includes document analysis, interviews with AI experts, and a literature study. The results show that although Gemini AI has complied with some key ethical principles in the ACM Code of Ethics, such as data security and privacy (90%) and human well-being (85%), there are still challenges related to transparency (60%) and bias mitigation (70%). Lack of transparency in algorithms and training data as well as potential bias in results generated by AI are the main issues that need to be improved. Based on the results, overall the Gemini AI has shown fairly good ethical compliance with an average of 76.67% but still requires improvement in the aspects of transparency, bias mitigation, and usage regulation.
Co-Authors Ari Juliansah Deslianti, Dwita Gunawan Gunawan Guntur Alam Khairullah khairullah Kirman marhalim, marhalim Muhammad Husni Rifqo Pahrizal, Pahrizal Rahmat Arif Ma’ruf Rexcy Elsan Ryon Zeri Pranata Sri Handayani Surya Ade Saputera Wiyana Junia