Pros and Cons of AI Robot as a Legal Subject
- DOI
- 10.2991/assehr.k.200515.067How to use a DOI?
- Keywords
- artificial intelligence, robot, legal subject
- Abstract
The Facebook case of shutting down Artificial Intelligence (AI), which was able to create its own language, worried many people because it had far-reaching consequences for human life, inspiring the establishment of a non- profit company Open AI which aims to avoid misuse of AI in the world. This article is based on normative legal research that refers to secondary data. Data collection, processing, and analysis are carried out qualitatively using the Miles and Huberman models. The paradox that accompanies the development of technology, especially robots with AI capabilities needs to be taken seriously by the executive, legislative, judicial and legal academics. With the ability to learn and make decisions, AI robots can decide for themselves various actions that will be taken out of their owner’s control. There is a shift in the treatment of AI robots that are seen as legal objects (goods), then equated with pets, treated as legal subjects as well as humans and legal entities. While the regulation on that, is not immediately sought, so the existence of AI robots is in a grey area. The fact is that AI robots are able to develop their own communication systems that are not understood by their creators, as happened in the case of Facebook. This requires all components to reorganize human relations with God, fellow living beings and products of human creation in a set of legal and social rules for the survival of humanity itself.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yuwono Prianto AU - Viony Kresna Sumantri AU - Paksi Yudha Sasmita PY - 2020 DA - 2020/05/20 TI - Pros and Cons of AI Robot as a Legal Subject BT - Proceedings of the Tarumanagara International Conference on the Applications of Social Sciences and Humanities (TICASH 2019) PB - Atlantis Press SP - 380 EP - 387 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200515.067 DO - 10.2991/assehr.k.200515.067 ID - Prianto2020 ER -