Development engineering
Online ISSN : 2185-2480
Print ISSN : 1343-7623
ISSN-L : 1343-7623
SPECIAL ARTICLES
Optimal Collaboration Between AI and Humans
Takumi GotoSadayo Hirata
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JOURNAL FREE ACCESS

2020 Volume 40 Issue 1 Pages 29-32

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Abstract

If the intelligence explosion occurs before researchers and policymakers can provide adequate measures, not only will traditional jobs become unnecessary, but it could affect the formation and growth of human intelligence and, ultimately, human existence. In order to avoid this problem, we need to understand the collaboration between AI and humans as soon as possible, and consider the challenges and solutions. The purpose of this paper is to discuss not whether AI or ASI are going to steal human jobs, but rather the ideal way to optimally collaborate between AI or ASI and humans. Among other things, this study focuses on the acquisition of knowledge that humans gradually form through their experience of “working”. In this study, we collected data on the work of research students during transitional stages of intelligence formation through interviews. As a result, effective intentions and actions were specifically extracted to form and grow human wisdom. Although it was a limited investigation, it is significant that the complex relationships of human will and action were specifically identified as a starting point to clarify the optimal collaboration between AI and humans.

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© 2020 The Development Engineering Society of Japan
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