Anda belum login :: 07 May 2026 02:04 WIB
Home
|
Logon
Hidden
»
Administration
»
Collection Detail
Detail
Legal personality of artificial intelligence
Bibliografi
Author:
Moeliono, Tristam Pascal
;
Simanjuntak, Mardohar B. B.
Topik:
Artificial intelligence
;
Legal subject
;
Subjective reality
;
Objective reality
;
Periscopic view
Bahasa:
(EN )
Penerbit:
Universitas Katolik Parahyangan
Tempat Terbit:
Bandung
Tahun Terbit:
2024
Jenis:
Article - diterbitkan di jurnal ilmiah nasional
Fulltext:
Legal personality of artificial intelligence.pdf
(387.25KB;
0 download
)
Abstract
This paper examines the ontology of artificial intelligence (AI) within the context of contemporary society. With the rapid progression of technology, the definition of legal subjects has become increasingly ambiguous, as the technological landscape continues to evolve. The orthodox perspective fails to provide adequate solutions to this problem. An alternative approach, as put forth by Visa A.J. Kurki’s bundle theory offers a potential pathway, yet AI’s intrinsic nature surpasses the minimum thresholds defined by Kurki’s model. The authors propose a periscopic model that explores the interaction between the material world and the virtual or augmented sphere, often referred to as the metaverse. This article contends that the current philosophical foundation of law is both outdated and insufficient, primarily due to the shift from singular to plural forms of agency. AI has transitioned from being purely instrumental or intermediary, as observed in Artificial Narrow Intelligence (ANI), to autonomous decision-making entities, exemplified by Artificial General Intelligence (AGI). Drawing on theoretical insights from Yuval Noah Harari, the paper underscores the need for a new conceptual framework to address AI’s lack of a material entity. In conclusion, the paper asserts that the recognition of AI as legal subjects is an inevitable development.
Kajian editorial
Article from jurnal : Melintas Vol. 40, No. 2, 2024
Opini Anda
Klik untuk menuliskan opini Anda tentang koleksi ini!
Lihat Sejarah Pengadaan
Konversi Metadata
Kembali
Process time: 0.09375 second(s)