The Relationship of Legal Subjects in Making Agreements Without Conducting Face-to-Face Meetings Based on the Artificial Intelligence (AI) Ecosystem: Business Law Implementation

Authors

  • Ahmad Suryadi S Institut Teknologi dan Bisnis Maritim Balik Diwa Author
  • Suprianto Suprianto Institut Teknologi dan Bisnis Maritim Balik Diwa Author https://orcid.org/0000-0002-5076-9737
  • Munadi Agri Saswan Politeknik Pertanian Negeri Pangkajene Kepulauan Author
  • Siti Rahmi Universitas Borneo Tarakan Author

DOI:

https://doi.org/10.70188/1vzv2j67

Keywords:

Artificial Intelligence, business law, implementation, non-face-to-face agreements, subject law

Abstract

The development of Artificial Intelligence (AI)-based technology has presented new challenges in treaty law, especially regarding the validity of legal relations that occur without face-to-face meetings. This study uses a normative-empirical method to analyze the application of treaty law in the context of the AI ecosystem. The purpose of this study is to understand the relationship between the legal terms of agreements based on Article 1320 of the Civil Code and the practice of agreements made through AI-based digital media. The data sources came from a literature study of laws and regulations, jurisprudence, and online treaty practices. Data collection techniques are carried out through literature studies and participatory observation of the implementation of AI in community legal interactions. The data analysis technique uses the law enforcement approach and the concept of recht vacuum to assess whether there is a legal vacuum. The results of the study show that agreements made through AI are still declared valid and binding as long as they meet the legal elements of the agreement according to the Civil Code, except for certain types of agreements that legally require face-to-face meetings such as land buying and selling, notary deeds, and grants, in accordance with the provisions of Law Number 1 of 2024 concerning Information and Electronic Transactions

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Published

2025-08-14

Issue

Section

Articles