Potential of eXtended Intelligence (XI) for Extending Human Expression from Digitization of Analog Elements
Potential of eXtended Intelligence (XI) for Extending Human Expression from Digitization of Analog Elements
复制标题
扩展智能 (XI) 通过模拟元件数字化扩展人类表达的潜力
DOI:
10.1007/978-3-031-27470-1_4
复制
发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Takayuki Fujimoto
中科院分区:
文献类型:
--
作者:
Bich Cu;Takayuki Fujimoto;Takayuki Fujimoto
In recent years, AI technology has developed dramatically and become more versatile. AI technology has been integrated into every aspect of our lives. Many people use AI frequently without being aware that they are using AI. The use of AI has led to the digitization of every analog tool in society, enriching our cultural life. Old antique-like machines are digitized and reproduced as software, and AI algorithms clean up and reproduce analog devices that have slipped in their positions as relics of the past. The proliferation of AI and the digitization of content and tools have rapidly in-creased and expanded the convenience of our lives. On the other hand, digital materials are easy to copy and it is difficult to guarantee originality. It is no exaggeration to say that the value of content is equal to its rarity, which is the presence or absence of guaranteed originality. In this sense, our AI digital society is causing the loss of originality and the decreasing the value of content itself in exchange for convenience. For creators there is no difference in the effort required to produce content, whether digital or analog. However, as long as content is digital, creators’ efforts will not be rewarded. These days, NFTs can provide a guarantee of originality and uniqueness to digital content. However, the daily development of AI technology will lead to the problem of the originality of the AI itself, which produces digital content. Is there any originality in the AI itself that produces content with guaranteed originality? As AI is a computer program, an algorithm, it is ultimately nothing more than source code. It is easy to copy and mass-produce AI that produces content with originality. Given these issues, this paper focuses on XI as a post-AI concept, introduces the authors’ efforts, and discusses XI’s potential and importance.