When we speak of solutions that can be designed, developed, and implemented to solve a determined problem in a specific domain, human intelligence shows that it cannot be kept within regular bounds. In addition, it consistently manages to produce innovative elements that increase efficiency, applicability, and abstraction, with the drawback of increasing the overall underlying complexity. As technology advanced and time passed, in every system there was a visible need to automate manual, repetitive, and mundane tasks to help save time and let humans focus on more important things. A practical example of such a system is the banking system. In this paper, our aim is to present how Artificial Intelligence (AI) helps this field through the use of chatbots. In this sense, we present and analyse five examples of such applications that are already used in the international banking system, highlighting the main benefits they bring. Finally, we present some conclusions regarding the chatbot systems analysed, acknowledging that the future will increasingly belong to IT applications of this kind.

The fact that advanced technologies and their economic applications have generated increasing resource costs justifies the transition from a linear approach to a circular one in order to control these costs. From this perspective, this study presents how artificial intelligence can help achieve this goal. Therefore, at the beginning of this article, we begin with an introduction and brief review of the literature on the subject. Our research procedure involved the combination of qualitative and quantitative forms of research using mixed methods. In this study, we presented and analyzed five chatbot solutions used in the field of the circular economy. The analysis of these five chatbots helped us design, in the second part of this paper, the procedures for data collection, training, development, and testing of a chatbot using various natural language processing (NLP) and deep processing (DP) techniques. Additionally, we include discussions and some conclusions regarding all aspects of the subject to see how they can help us in future studies. Furthermore, our future research with this topic will have as the goal the effective construction of a chatbot dedicated to the circular economy.

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 Logroño (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.