November 2022, ChatGPT, a powerful chat-like AI tool, was created by a company named Open AI. ChatGPT is a large language model (LLM) and a subset of machine learning that can identify, condense, translate, predict, and produce text. The large language model (LLM), sometimes called “autocomplete on steroids,” has drawn attention for its ability to present human-like answers to queries. Its work has received passing grades on university law and business exams and has been used in a Colombian court to help decide a legal ruling. Academia has expressed concern as to AI's potential to undermine the education system or contribute to academic dishonesty if students use the technology in place of their thoughts, opinions, and research. Moreover, journal editors, researchers, and publishers are now debating the place of such AI tools in the published literature and whether it's appropriate to cite the bot as an author. This chapter explores ChatGPT and its impact on librarianship, academia, scholarly research, the workplace, and other entities.
TopIntroduction
November 30, 2022, Open AI became all the rave as a result of the creation of ChatGPT. As a powerful chat-like AI tool. OpenAI released an early demo of ChatGPT in December 2022, and the conversational chatbot quickly went viral on social media. Five days later, the chatbot had over one million users, as people took to social media to share examples of ChatGPT's many capabilities — from casual conversation to essay writing and coding.
The artificial intelligence company named Open AI that created ChatGPT is now backed by Microsoft, and, has a long history with some of Silicon Valley's biggest names. January 2023 Microsoft reported that it planned to use ChatGPT to power its search engine Bing and invest 10 billion in Open AI.
ChatGPT is a large language model (LLM) with deep learning algorithms, and a subset of machine learning, which can identify, condense, translate, predict, and produce text (along with other forms of content). As a machine-learning system that autonomously learns from data and can produce sophisticated and seemingly intelligent writing after training on a massive data set of text (van Dis, et al., 2023).
The large language model (LLM), sometimes called “autocomplete on steroids”, has drawn attention for its ability to present human-like answers to queries. Its work has received passing grades on university law and business exams and has been used in a Colombian court to help decide a legal ruling.
What sets ChatGPT apart from other chatbots and NLP systems is its ultrarealistic conversational skills, including an ability to ask follow-up questions, admit mistakes and point out nuances about a topic. In many cases, it’s impossible to detect that a human is interacting with a computer-generated bot. Grammatical and syntax errors are rare and written constructions are logical and articulate (Greengard, 2022).
Responses to ChatGPT and its competitors have wavered between recognizing the potential risks of the chatbot and extolling its possible benefit. The tech has caused rapid legislation, numerous headlines, and ardent debate. At universities, some people have expressed concern as to AI’s potential to undermine the education system or contribute to academic dishonesty if students use the technology in place of their thoughts, opinions, research, open book, and take-home tests. Others highlight potential positive uses.
Furthermore, there has been speculation on how the software could impact the workplace resulting in the ramifications of talent vs technology. Amazon employees have already started using ChatGPT to assist with coding.
Journal editors, researchers, and publishers are now debating the place of such AI tools in the published literature, and whether it’s appropriate to cite the bot as an author. Publishers have been racing to create policies for the chatbot, which was released as a free-to-use tool in November 2022 by the tech company OpenAI in San Francisco, California (Nature, 2023).
While on the other hand, some of the world’s biggest academic journal publishers have banned or curtailed their authors from using ChatbotGPT. The tech is known to use information from the internet to produce highly readable answers to questions. Publishers are now concerned that as a result, inaccurate or plagiarized papers could enter the page of academic work.
Several researchers have already listed the chatbot as a co-author in academic studies, and some publishers have moved to ban this practice. However, the editor-in-chief of Science, one of the top scientific journals in the world, has gone a step further and forbidden any use of text from the program in submitted papers.
A recent study, published in Finance Research Letters, revealed that ChatGPT could be used to write a finance paper that could be accepted for an academic journal. Although the bot performed better in some areas than in others, adding its expertise helped overcome the program’s limitations in the eyes of journal reviewers. Moreover, some large banks have banned the use of AI technology.