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Proposal of new technological frame for emergence of ethical norm in the networked AI-robot society using deep reinforcement learning

水産大学校研究報告 Volume 69 Issue 2 Page 33-40
published_at 2021-02
69-2-33-40.pdf
[fulltext] 1.1 MB
Title
ネットワーク化されたAI ・ ロボット社会において倫理基準を創発させるための技術フレームの提案
Proposal of new technological frame for emergence of ethical norm in the networked AI-robot society using deep reinforcement learning
Creators Ishida Takeshi
Source Identifiers
Creator Keywords
Machine Ethics Ethical norms Deep Reinforcement Learning Multi-agent system
The introduction of networked AI-robots into society is estimated to bring numerous ethical issues to the fore. Moreover, there is a possibility that conventional ethics, such as engineering ethics and information ethics may not sufficiently address these issues. Hence, a new field called machine ethics is emerging that introduces ethical judgment and behavioral mechanisms into AI and robots. Accordingly, various technical elements are being studied to empower machines to make ethical decisions. Previously, symbolic reasoning systems were the main focus of this field; however, in recent years neural network models have also been utilized. In this paper, the limitations of conventional applied ethics are considered from the ethical viewpoint of the relationship between the autonomy and network complexity of networked AI-robots. Therefore, the possibility of multi-agent type deep reinforcement learning is considered as a method for overcoming the encountered limitations. From this, a technical frame for emergence of ethical norms in the networked AI-robot society is proposed.
Languages jpn
Resource Type departmental bulletin paper
Publishers 水産大学校
Date Issued 2021-02
File Version Version of Record
Access Rights open access
Relations
[ISSN]0370-9361