SWOT ANALYSIS ON THE IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN THE HUMAN DIGNITY PERSPECTIVE

Ninik, Agustin (2017) SWOT ANALYSIS ON THE IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN THE HUMAN DIGNITY PERSPECTIVE. SWOT ANALYSIS ON THE IMPLEMENTATION OF RTIFICIAL INTELLIGENCE IN THE HUMAN DIGNITY PERSPECTIVE. (In Press)

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Abstract

We have seen the economic crisis in 1997 and felt the impact, especially for capitalist industry players, where capital is largely foreign debt (Tarmidi, L. T, 2003). The running of the ASEAN economic community in 2015 posed even more challenges to the SMEs in Indonesia, because competition was not only in the region of Indonesia but ASEAN. Baskoro, A. (2015) mentions that there are four things that will become the focus of MEA in 2015 which can be used as a good momentum for Indonesia. Artificial Intelligence (AI) is being integrated into systems influencing decisions, analysing complex situations and conducting processes, which may be dangerous for humans. Yet AI is not strong enough to be able to feel or suffer and maybe it never will. However, the complexity of AI deciding will grow with the technical progress and it should be discussed, how far we are willing to integrate future AI systems into important social processes such as legal decisions or teaching. The article seeks to give an overview over constitutional problems of an integration of strong AI systems into social deciding processes. It analyses the ability of AI to have similar legal positions as natural persons and corporations in the light of the question, whether AI can be an agent for ethic. Furthermore, it presents options of a liability for damages caused by the activity of AI systems. Keywords: Artificial Intelligence, Human dignity, Personification, Legal Person, SWOT.

Item Type: Article
Subjects: A General Works > AC Collections. Series. Collected works
A General Works > AS Academies and learned societies (General)
Divisions: Fakultas Teknologi Industri > Prodi Teknik Industri
Depositing User: Rizki Handayani S.I.Pust
Date Deposited: 19 Jul 2019 04:42
Last Modified: 19 Jul 2019 04:42
URI: http://repository.unugha.ac.id/id/eprint/574

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