Scholarly record
CHATBOTS AS A KEY ENGINE OF ARTIFICIAL INTELLIGENCE: TRENDS AND PROSPECTS FOR DEVELOPMENT
Abstract
Chatbot research, a pertinent and crucial domain within artificial intelligence and information technology, aims to showcase chatbots as pivotal catalysts for advanced artificial intelligence. With the evolution of technology and the burgeoning volume of information, users increasingly seek efficient means of interaction for convenient access to information, thereby facilitating communication. Chatbots, being instrumental in this endeavor, not only serve as key drivers of artificial intelligence but also play a pivotal role in various sectors, particularly in education. The integration of chatbots in education is gaining popularity as they enhance the learning process by providing interactive and engaging experiences. In this context, chatbots can employ game elements and challenges to stimulate active learning among students, offering support for learners, customers, and employees alike. This aligns with the broader trend of artificial intelligence technologies impacting various aspects of life. In education, the practical significance of chatbot research becomes evident as it significantly improves the quality of education, fosters individualization, and enhances convenience for students while optimizing the workflow for teachers. The research contributes substantially to the development of artificial intelligence and enhances the interaction between individuals and technology. Overall, the rapid technological changes, heightened demand for intelligent interaction systems, and the growing interest in communication automation drive the continuous improvement of chatbot functionality and efficiency across diverse domains of human activity.
Publication Impact Profile
Publication details
References7
Artificial intelligence: an era of new threats or opportunities? Monograph (2023). Edited by Irina Tatomyr, Liubov Kvasnii. Praha: Oktan print 260 СЂ.
Bolton, M., Raven, R., Mintrom, M. (2021). Can AI transform public decisionmaking for sustainable development? An exploration of critical earth system governance questions. Earth System Governance, p. 9, 100116.
Bossaerts, P., Murawski, C. (2017). Computational complexity and human decisionmaking. Trends in cognitive sciences, 21(12), 917-929.
Eitel-Porter, R. (2021). Beyond the promise: Implementing ethical AI. AI and Ethics, 1, 73-80.
Komninos, N., Kakderi, C., Collado, A., Papadaki, I., Panori, A. (2021). Digital transformation of city ecosystems: Platforms shaping engagement and externalities across vertical markets. Journal of Urban Technology, 28(1-2), 93-114.
Klopov, I., Shapurov, O., Voronkova, V., Nikitenko, V., Oleksenko, R., Khavina, I., Chebakova, Y. (2023). Digital Transformation of Education Based on Artificial Intelligence. TEM Journal. Vol. 12, Issue 4, pages 2625-2634.
Metelenko, N., Klopov, I., Voronkova, V., Nikitenko, V., Oleksenko, R., Brytvienko, A., Runcheva, N. (2023). Development of Flexible Management Structures in the Context of Digital Transformation of INDUSTRY 5G. Review of Economics and Finance. Vol. 21, 2052-2060.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.

