{"title":"Design of Humanity by the Concept of Artificial Personalities","authors":"Taishi Nemoto, T. Fujimoto","doi":"10.1109/CSCI51800.2020.00121","DOIUrl":null,"url":null,"abstract":"Since the 2000s, the third artificial intelligence boom has occurred. Research on machine learning and deep learning is progressing, but challenges remain regarding realizing so-called ‘human-like’ general-purpose AI (Artificial Intelligence). In recent years, artificial intelligence research has been linked to cognitive science, and the question of what ‘humanity’ is and how to design ‘humanity’ has been raised as issues. The more robots resemble humans, the more the ‘uncanny valley phenomenon’ increases and the more people feel uncomfortable. Even though technology has advanced and realistic textures can be expressed, robots seem to be just ‘artifacts.’ The point of this study is to determine at what point humans feel ‘human-like’ and how to reproduce ‘human-like’ using a computer. In this study, in order to express human personality and characteristic gestures, we generate an ‘artificial personality’ (AP), and let people find the human touch that a real person possesses through that AP. For example, artificial reproduction of the intelligence of a deceased person is difficult with today's technology. However, AP enables to extract the characteristics of a person's gestures, routines, habits, and facial expressions in his or her lifetime, and to digitally recreate the person's personality based on the accumulation of ‘flesh and blood’ data. This study discusses the two elements and basic mechanisms that are necessary for AP research.","PeriodicalId":336929,"journal":{"name":"2020 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computational Science and Computational Intelligence (CSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCI51800.2020.00121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Since the 2000s, the third artificial intelligence boom has occurred. Research on machine learning and deep learning is progressing, but challenges remain regarding realizing so-called ‘human-like’ general-purpose AI (Artificial Intelligence). In recent years, artificial intelligence research has been linked to cognitive science, and the question of what ‘humanity’ is and how to design ‘humanity’ has been raised as issues. The more robots resemble humans, the more the ‘uncanny valley phenomenon’ increases and the more people feel uncomfortable. Even though technology has advanced and realistic textures can be expressed, robots seem to be just ‘artifacts.’ The point of this study is to determine at what point humans feel ‘human-like’ and how to reproduce ‘human-like’ using a computer. In this study, in order to express human personality and characteristic gestures, we generate an ‘artificial personality’ (AP), and let people find the human touch that a real person possesses through that AP. For example, artificial reproduction of the intelligence of a deceased person is difficult with today's technology. However, AP enables to extract the characteristics of a person's gestures, routines, habits, and facial expressions in his or her lifetime, and to digitally recreate the person's personality based on the accumulation of ‘flesh and blood’ data. This study discusses the two elements and basic mechanisms that are necessary for AP research.