Adaptive Legal Architectures for Governing AutonomousTechnologies in Sustainable Digital Societies

Authors

DOI:

https://doi.org/10.34306/law.v1i1.75

Keywords:

Adaptive Legal Governance, Autonomous Technologies, Digital Governance, Artificial Intelligence, Sustainable Digital Societies

Abstract

Building effective governance structures for rapidly evolving autonomous technologies represents a significant legal challenge in contemporary digital societies. The rapid integration of AI, algorithmic decision making, and autonomous systems into digital infrastructures has created increasing regulatory complexity, while existing legal frameworks often struggle to adapt to the speed of technological innovation. This condition creates a regulatory gap between technological development and the capacity of legal systems to ensure accountability, transparency, and ethical governance. This study aims to examine how adaptive legal architectures can be designed to regulate autonomous technologies in sustainable digital societies. The research employs a qualitative conceptual approach by reviewing interdisciplinary literature on digital governance, technology law, and AI ethics. Through this approach, the study identifies key governance principles that support flexible and responsive regulatory systems. The findings suggest that adaptive legal architectures should incorporate dynamic regulatory mechanisms, multi stakeholder participation, and ethical oversight frameworks that allow legal systems to respond to rapid technological change. These mechanisms enable governance models that balance technological innovation with risk management, transparency, and long-term societal sustainability. This study contributes to the development of digital governance frameworks by proposing a conceptual foundation for adaptive legal regulation capable of addressing the governance challenges posed by autonomous technologies.

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Author Biographies

  • Qurotul Aini, Satya Wacana Christian University, Indonesia

    Faculty of Information Technology

  • Steven Harazaki Lase, University of Raharja, Indonesia

    Faculty of Digital Business

  • Alfri Adiwijaya, University of Raharja, Indonesia

    Faculty of Digital Business

  • Fanani Islamia Ningrum, University of Raharja, Indonesia

    Faculty of Science and Technology

  • Dimas Aditya Prabowo, University of Raharja, Indonesia

    Faculty of Digital Business

  • Thomas Green, Eesp Incorporation, Samudra Hindia Britania

    Department of Computer Science

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Published

2026-03-13