There’s an argument out there that claims text-generating AI is going to benefit humanity in the long run. How, you may ask? By robbing writers of their livelihoods? By recruiting an algorithm to craft stories, a core part of the human experience? By severing us further from human connection — the art of learning, of teaching, of writing by humans for humans?
The current state of AI bots is that they can increase researchers' productivity in terms of summarizing previous scholarships. However, they cannot predict unseen connections, which means that they work retrospectively. And since the goal of scientific research is to generate new knowledge, AI will be an assistant in looking back at previous research, but cannot currently predict unseen connections.
ChatGPT in Academic Writing and Publishing: A Comprehensive Guide
Scientific writing is a difficult task that requires clarity, precision, and rigour. It also involves a large amount of research, analysis, and synthesis of information from various sources. However, scientific writing is also hard, time-consuming, and susceptible to errors. Advanced artificial intelligence (AI) models, such as ChatGPT, can simplify academic writing and publishing. ChatGPT has many applications and uses in academic and scientific writing and publishing such as hypothesis generation, literature review, safety recommendations, troubleshooting, tips, paraphrasing and summarising, editing, and proofreading, journal selection, journal style formatting, and other applications.
In this book chapter, we will discuss the main advantages, examples, and applications of ChatGPT in academic and scientific writing from research conception to publishing.
“When we talk about AI, most people immediately think of ChatGPT. But ChatGPT is a consumer grade product that was not made for publishing. The real opportunity for publishers are the fined-tuned AI products specifically made for academic and scholarly use,” Smith continued: “With these products many of the major concerns around AI use can be bypassed and there are opportunities to take a step forward with some of the longest standing publishing challenges. For example: we can add restrictions to prompts asking only for cited content or give LLMs access to tools (such as simple calculators or sophisticated databases).”
One example of creating opportunity with AI is to generate summaries of papers, explained Smith. “Some publishers are using GPT-4, ChatGPT's more capable successor, to generate "lay summaries" of academic papers for their magazines. However, these summaries must still be validated by a human professional to ensure accuracy.”
Scopus, Dimensions and Web of Science are introducing conversational search using large language models (LLMs). Scopus AI is intended to be a light, playful tool to help researchers quickly get summaries of topics that they’re unfamiliar with. The bot uses a version of GPT-3.5 to return a fluent summary paragraph, together with references and further questions to explore. The Dimensions chatbot first uses a search engine to retrieve relevant articles and then an Open AI GPT model to generate a summary paragraph around the top-ranked abstracts...
Cellular and Molecular Bioengineering, Vol. 16, No. 1, February 2023 ( 2023) pp. 1–2 https://doi.org/10.1007/s12195-022-00754-8
Author’s note: This article was written by the ChatGPT chatbot, in response to prompts from MK. That human-chatbot conversation is presented here, without editing.
Transparency in research: An analysis of ChatGPT usage acknowledgment by authors across disciplines and geographies
This investigation systematically reviews the recognition of generative AI tools, particularly ChatGPT, in scholarly literature...
Findings are beneficial for stakeholders, providing a basis for policy and scholarly discourse on ethical AI use in academia. This study represents the inaugural comprehensive empirical assessment of AI acknowledgment patterns in academic contexts, addressing a previously unexplored aspect of scholarly communication...
Article Transparency in research: An analysis of ChatGPT usage ackno...