History of generative Artificial Intelligence (AI) chatbots: past, present, and future development
Md. Al-Amin, Mohammad Shazed Ali, Abdus Salam, Arif Khan, Ashraf Ali, Ahsan Ullah, Md Nur Alam, Shamsul Kabir Chowdhury

TL;DR
This paper offers a comprehensive historical overview of chatbot development, from rule-based systems to advanced AI-powered conversational agents, highlighting key milestones, innovations, and future prospects in the field.
Contribution
It provides a detailed chronological survey of chatbot evolution, synthesizing academic and industry insights to contextualize past developments and future directions.
Findings
Major milestones include ELIZA, ALICE, and transformer-based models.
Integration of NLP and machine learning has advanced chatbot capabilities.
Historical insights inform future research and application potential.
Abstract
This research provides an in-depth comprehensive review of the progress of chatbot technology over time, from the initial basic systems relying on rules to today's advanced conversational bots powered by artificial intelligence. Spanning many decades, the paper explores the major milestones, innovations, and paradigm shifts that have driven the evolution of chatbots. Looking back at the very basic statistical model in 1906 via the early chatbots, such as ELIZA and ALICE in the 1960s and 1970s, the study traces key innovations leading to today's advanced conversational agents, such as ChatGPT and Google Bard. The study synthesizes insights from academic literature and industry sources to highlight crucial milestones, including the introduction of Turing tests, influential projects such as CALO, and recent transformer-based models. Tracing the path forward, the paper highlights how…
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Taxonomy
TopicsAI in Service Interactions · Economic and Technological Developments in Russia · Blockchain Technology Applications and Security
