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Title Using artificial intelligence for the benefit of the circular economy
ID_Doc 1094
Authors Cimpeanu, IA; Dragomir, DA; Zota, RD
Title Using artificial intelligence for the benefit of the circular economy
Year 2022
Published Proceedings Of The International Conference On Business Excellence, 16, 1
DOI 10.2478/picbe-2022-0029
Abstract Human intelligence has no limits and constantly impresses with innovative solutions that increase in complexity, applicability, and efficiency. With the advancement of technology and the passage of time, there was a need to move from the linear economic model, which involved the implementation of the "takemake- waste" process and which causes negative effects on the environment and society, to the circular model, which promises a much regenerative. Artificial intelligence is beginning to take shape day by day in more and more branches of activity. In this article, we will present how artificial intelligence helps the field of the circular economy. Thus, we will present two chatbot solutions (A.I.R-e and Iio) that are already implemented in the field of circular economy and have the role of helping the human population. A.I.R-e uses both visual object recognition technology, helping to separate waste according to its nature, as well as auditory and language, to provide information about collection centers and answer user questions. It was implemented by TheCircularLab platform and is used in Logrono (Spain). The second chatbot model is called Iio and is used in Yokohama, Japan. It was developed by NTT Docomo and serves to answer users' questions about sorting waste and where it should be taken for recycling. The chatbot knows how to give instructions on the categories of waste sorting, to guide the user to the nearest landfill, but also to answer and give answers that will impress you if a user types a word that does not have to do with waste recycling.
Author Keywords Circular Economy; Artificial Intelligence; chatbots; software; recycling
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000837589900009
WoS Category Business
Research Area Business & Economics
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