Human Machine Liability Redistribution in Autonomous Artificial Intelligence Decision Systems within Contemporary Legal Governance

Yohanna YR Watofa

doi:10.55927/fjas.v5i5.40

Authors

Yohanna YR Watofa Sekolah Tinggi Ilmu Hukum Manokwari

DOI:

https://doi.org/10.55927/fjas.v5i5.40

Keywords:

Autonomous Artificial Intelligence, Legal Liability, Liability Redistribution, Legal Governance

Abstract

The rapid development of Autonomous Artificial Intelligence (AAI) systems has challenged traditional legal liability frameworks that are centered on human actors. This study aims to analyze the redistribution of liability between humans and machines in AI-based decision-making and to evaluate the adequacy of contemporary legal regimes. The research employs a normative juridical approach with comparative analysis of legal instruments and liability doctrines. The findings indicate that conventional liability models are insufficient to address the autonomy and uncertainty inherent in AAI systems. New approaches such as shared liability, risk-based liability, and strengthened algorithmic accountability are required. This study highlights the urgency of reformulating adaptive legal frameworks to ensure legal certainty, protection of rights, and a balance between technological innovation and responsibility.

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