Chatgpt: Early Adopters, Teething Issues and the Way Forward

EUROCALL , 2023

One of the newest tools for language learning is AI-powered chatbots which allow students to engage in interactive conversations with a chatbot. English Central is a digital language learning platform that allows students to watch videos, study vocabulary, and produce spoken language through short interactive videos. In addition to these three core components, English Central has recently added a chatbot powered by ChatGPT. This paper shares the results of a pilot study that analyzed data from Japanese university students who engaged in interactions with this chatbot. The authors introduce quantitative data showing the quantity and quality of the interactions and discuss the strategies they implemented to encourage longer interactions. A student feedback survey was conducted and the results of this are also shared. The results suggested that although many students reported benefits to using a chatbot, the strategies implemented did not lead to significantly longer interactions, and that many students felt frustrated when the chatbot did not understand their utterances.

Lecture Notes in Computer Science, 2020

The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.

The 9th International scientific and practical conference “Scientific progress: innovations, achievements and prospects” (May 29-31, 2023) MDPC Publishing, Munich, Germany., 2023

This paper examines four most important applications of ChatGPT, gives some examples of use and reveals some features of ChatGPT. Such a study is necessary in order to determine potential of innovative technology, its advantages and limitations, and this in turn will be useful for future users of chatbots and for educational process.

ChatGPT is a NextGen technology of a typical Chabot or a virtual assistant that can give an answer in a natural human language using advanced artificial intelligence. It is currently used in multiple areas like in educational institutions, business processes, customer service bots etc. This current article specifies about the working of ChatGPT, uses of ChatGPT in multiple areas in day-today tasks. This paper also discusses the advantages and disadvantages of ChatGPT. How can it be useful in terms of academics and many other potential uses of the model. We will also be discussing the regions in which this technology is still lacking behind and needs for further improvement and also the impact of this model on the world.

arXiv (Cornell University), 2023

Large language models (LLMs) have recently become a popular topic in the field of Artificial Intelligence (AI) research, with companies such as Google, Amazon, Facebook, Amazon, Tesla, and Apple (GAFA) investing heavily in their development. These models are trained on massive amounts of data and can be used for a wide range of tasks, including language translation, text generation, and question answering. However, the computational resources required to train and run these models are substantial, and the cost of hardware and electricity can be prohibitive for research labs that do not have the funding and resources of the GAFA. In this paper, we will examine the impact of LLMs on AI research. The pace at which such models are generated as well as the range of domains covered is an indication of the trend which not only the public but also the scientific community is currently experiencing. We give some examples on how to use such models in research by focusing on GPT3.5/ChatGPT3.4 and ChatGPT4 at the current state and show that such a range of capabilities in a single system is a strong sign of approaching general intelligence. Innovations integrating such models will also expand along the maturation of such AI systems and exhibit unforeseeable applications that will have important impacts on several aspects of our societies.

What is ChatGPT ? ChatGPT, a large language model developed by OpenAI, based on the GPT-3.5 architecture which is designed to generate human-like responses to natural language inputs, enabling me to carry out a wide range of conversational tasks such as answering questions, providing recommendations, engaging in small talk, and even writing stories and poems. Training data consists of a vast amount of text from the internet, including books, articles, and web pages, which allows it to draw on a broad range of knowledge and perspectives.

arXiv (Cornell University), 2023

Chat Generative Pre-trained Transformer (Chat-GPT) has gained significant interest and attention since its launch in November 2022. It has shown impressive performance in various domains, including passing exams and creative writing. However, challenges and concerns related to biases and trust persist. In this work, we present a comprehensive review of over 100 Scopus-indexed publications on ChatGPT, aiming to provide a taxonomy of ChatGPT research and explore its applications. We critically analyze the existing literature, identifying common approaches employed in the studies. Additionally, we investigate diverse application areas where ChatGPT has found utility, such as healthcare, marketing and financial services, software engineering, academic and scientific writing, research and education, environmental science, and natural language processing. Through examining these applications, we gain valuable insights into the potential of ChatGPT in addressing realworld challenges. We also discuss crucial issues related to ChatGPT, including biases and trustworthiness, emphasizing the need for further research and development in these areas. Furthermore, we identify potential future directions for ChatGPT research, proposing solutions to current challenges and speculating on expected advancements. By fully leveraging the capabilities of ChatGPT, we can unlock its potential across various domains, leading to advancements in conversational AI and transformative impacts in society.

International Journal of Security and Privacy in Pervasive Computing

The evolution of artificial intelligence (AI) and machine learning (ML) has led to the development of sophisticated large language models (LLMs) that are used extensively in applications such as chatbots. This research investigates the critical issues of data protection and privacy enhancement in the context of LLM-based chatbots, with a focus on OpenAI's ChatGPT. It explores the dual challenges of safeguarding sensitive user information while ensuring the efficiency of machine learning models. It assesses existing privacy-enhancing technologies (PETs) and proposes innovative methods, such as differential privacy, federated learning, and data minimization techniques. The study also includes a survey of Chatbot users to measure their concerns related to data privacy with the use of these LLM-based applications. This study is meant to serve as a comprehensive guide for developers, policymakers, and researchers, contributing to the discourse on data protection in artificial intelli...

2024

This paper explores the transformative potential offered by chatbot technology across industries, with a focus on its impact, challenges, and future directions. The study employs qualitative analysis of chatbot use cases, current applications, and advancements in natural language processing. Results indicate that chatbots are effective in automating repetitive tasks, providing personalized interactions, and improving accessibility to services. However, challenges such as limited natural language understanding, multilingual capabilities, and data dependence remain unsolved. Emerging solutions, including explainable artificial intelligence, context-aware designs, and integration with large language models, promise to address inherent limitations of chatbots, and enhance chatbot reliability and scalability to support innovation, revolutionize numerous industries, and finally become indispensable comprehensive tools in the digital economy.

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023

A chatbot is a computer program that aims to make a conversation between both humans and machines. The chatbot can be utilized in a variety of platforms, including messaging apps and virtual assistants. The chatbot has evolved a lot in decades starting from amusement usage to performing serious tasks. While designing a chatbot, design considerations like purpose, audience, channels, conversational flow, testing and iterations must be taken into account in order to ensure that it is accurate and user-friendly. Based on its domain, model, and conversation style, a chatbot can be categorized into customer-service, sales, informational, personal assistant, entertainment, health and educational chatbot. Chatbot technology continues to face a wide variety of challenges like contextual understanding, integration with backend systems, personalization, security and user acceptance. This paper explores and compares various recent chatbots from different domains that are being used. We have surveyed the entire development process and the different development techniques used to design chatbots and the audience they cater to. We also look at the various evaluation methodologies used in checking the efficiency and enforceability of the considered chatbots.

This abstract includes the total quantum of the chatbot. A new approach to computer-to-mortal business is handed by conversational interfaces, or chatbots as they're generally known. In the history, exercising a quest machine or completing a form was demanded in order to have a software programme respond to a query, as programs were fully reckoned on syntax and semantics of the programming language and it was veritably delicate for the nonprogrammers to communicate with computers. With a chatbot, a customer may principally interrogate request the same way they would with a mortal. Voice chatbots like Alexa and Siri are right now the most well-known feathers of chatbots. On the other hand, chatbot handover rates on computer discourse platforms are presently truly strong. You may make a introductory chatbot by adding generally asked questions (FAQs) to chatbot software. major invention companies to prepare common shoptalk. Integrating the chatbot with the company's enterprise software can enhance its capabilities. The maturity of marketable chatbots calculate on platforms developed by the major technology companies to exercise natural language. Amazon Lex, IBM Watson, Face book Deep Text, Google Cloud Natural Language API, Slack, Skype, and Microsoft Cognitive Services are a numerous of these.

ArXiv, 2016

Both dialogue systems and chatbots aim at putting into action communication between humans and computers. However, instead of focusing on sophisticated techniques to perform natural language understanding, as the former usually do, chatbots seek to mimic conversation. Since Eliza, the first chatbot ever, developed in 1966, there were many interesting ideas explored by the chatbots' community. Actually, more than just ideas, some chatbots' developers also provide free resources, including tools and large-scale corpora. It is our opinion that this know-how and materials should not be neglected, as they might be put to use in the human-computer communication field (and some authors already do it). Thus, in this paper we present a historical overview of the chatbots' developments, we review what we consider to be the main contributions of this community, and we point to some possible ways of coupling these with current work in the human-computer communication research line.

International Journal of Security and Privacy in Pervasive Computing

The rise of artificial intelligence (AI) has opened up new frontiers in various fields, including natural language processing. One of the most significant advancements in this area is the development of conversational agents (i.e., chatbots), which are computer programs designed to interact with humans through messaging interfaces. The emergence of large language models, such as ChatGPT, has enabled the creation of highly sophisticated chatbots that can mimic human conversations with impressive accuracy. However, the use of these chatbots also poses significant cyber risks that must be addressed. This research paper seeks to investigate the cyber risks associated with the use of ChatGPT and other similar AI-based chatbots, including potential vulnerabilities that could be exploited by malicious actors. As part of this research, a survey was conducted to explore the cybersecurity risks associated with AI-based chatbots like ChatGPT. Further, the paper also suggests mitigation methods...

IFIP Advances in Information and Communication Technology

The use of chatbots evolved rapidly in numerous fields in recent years, including Marketing, Supporting Systems, Education, Health Care, Cultural Heritage, and Entertainment. In this paper, we first present a historical overview of the evolution of the international community's interest in chatbots. Next, we discuss the motivations that drive the use of chatbots, and we clarify chatbots' usefulness in a variety of areas. Moreover, we highlight the impact of social stereotypes on chatbots design. After clarifying necessary technological concepts, we move on to a chatbot classification based on various criteria, such as the area of knowledge they refer to, the need they serve and others. Furthermore, we present the general architecture of modern chatbots while also mentioning the main platforms for their creation. Our engagement with the subject so far, reassures us of the prospects of chatbots and encourages us to study them in greater extent and depth.