Ethical Principles and Responsibility Structures in Daily Use of Artificial Intelligence

Rafadi Khan Khayru, Arif Rachman Putra, Samsul Arifin — Mon, 29 Jun 2026 00:00:00 +0000

This literature study examines the ethical principles underlying human interaction with artificial intelligence in daily life and reconstructs the structure of moral responsibility for algorithmically generated decisions. Through qualitative analysis of philosophical, legal, and technical literature, the study identifies eight ethical principles: autonomy, transparency, procedural fairness, accountability, privacy, non-maleficence, honesty, and solidarity. These principles operate without fixed priority order, but any suspension of one principle for another requires transparent justification. The reconstruction of moral responsibility requires a layered approach combining distributed responsibility across production chains, corporate responsibility as collective entities, forward-looking accountability, prohibition of agency laundering, equal legal standards between human and machine decisions, reversal of burden of proof under specific conditions, dynamic monitoring for continuously learning systems, and independent supervisory authorities with enforcement powers. No single solution resolves all ethical problems, but the necessary direction moves from finding individual scapegoats toward responsibility as a property of socio-technical systems. Regulation must mandate algorithmic audits, equalize liability standards, and impose severe sanctions for agency laundering.

International Journal of Service Science, Management, Engineering, and Technology

Ethical Principles and Responsibility Structures in Daily Use of Artificial Intelligence