Year: 2025
Type: article
Abstract: Artificial intelligence (AI) is a multidimensional phenomenon that profoundly impacts various aspects of modern human life. While global discussions on AI ethics have predominantly centered on Western perspectives, this study explores ethical AI development through the lens of Semar philosophy, representing the local wisdom of Nusantara. Employing library research with a philosophical approach, this research analyzes some sources on Semar philosophy and its relevance to AI ethics. The findings reveal that: 1) The Ojo Dumeh principle promotes humility in AI use and development, preventing technological arrogance and misuse. The Eling principle emphasizes awareness of AI’s intended purpose and its socio-environmental consequences, fostering responsible innovation. The Waspada principle highlights the importance of risk mitigation, addressing challenges such as algorithmic bias, privacy concerns, and unequal access to technology. 2) The integration of these ethical values presents an opportunity for strategic collaboration among developers, users, and policymakers to craft regulations that harmonize global standards with local wisdom, reinforcing the importance of culture-based ethics education. 3) Key challenges in implementation include limited cultural awareness in AI ethics discourse, resource constraints, and difficulties in aligning local ethical values with global regulatory frameworks. This study contributes to the ongoing discourse on AI ethics by introducing a localized ethical framework that balances technological advancements with cultural values. Further research is recommended to develop a structured implementation framework and an adaptive strategy for global integration, ensuring that local philosophical perspectives contribute to a more humane, inclusive, and ethically responsible AI ecosystem
Institution: Universitas Gadjah Mada
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4413003238
