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http://dx.doi.org/10.25673/120435| Title: | Chatbots Phenomenon in the Age of AI: An In-Depth Review of Applications and Future Prospects |
| Author(s): | Salih, Huda M. Nsaif, Wassem Saad Al-Nuaimi, Bashar Talib Saleh, Hassa Hadi |
| Granting Institution: | Hochschule Anhalt |
| Issue Date: | 2025-06 |
| Extent: | 1 Online-Ressource (13 Seiten) |
| Language: | English |
| Abstract: | In the contemporary era characterized by artificial intelligence (AI), Generative Pre-trained Transformers (GPT) have achieved unprecedented ubiquity, finding applications across diverse sectors such as healthcare, retail, finance, and customer support. Chatbots represent a novel technological advancement that holds the promise of enhancing both workplace environments and daily experiences. This paper offers a comprehensive examination of the current landscape of chatbot applications and their potential future developments. We examine the historical evolution and foundational principles of chatbots, highlighting their progression facilitated by innovations in Natural Language Processing (NLP) and Machine Learning (ML). Subsequently, we analyze their utilization across various sectors, emphasizing both benefits and drawbacks. Additionally, we explore prospective uses, incorporating emerging technologies like voice assistants and augmented reality. Finally, we address challenges such as bias, data privacy, and ethical dilemmas, alongside possible solutions. This study provides an extensive review of the current status of chatbot technology, its future prospects, and obstacles to fully harnessing its capabilities. |
| URI: | https://opendata.uni-halle.de//handle/1981185920/122391 http://dx.doi.org/10.25673/120435 |
| Open Access: | Open access publication |
| License: | (CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0 |
| Appears in Collections: | International Conference on Applied Innovations in IT (ICAIIT) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-17-ICAIIT_2025_13(2).pdf | 1.08 MB | Adobe PDF | ![]() View/Open |
Open access publication
