The solution to a particular question asked from two different AI tools may not necessarily be the same, even if the underlying question is identical. While both AI tools may attempt to answer the same question, the nuances in their design and operation can lead to differing responses. Different AI models may interpret the same prompt differently based on their training and design, leading to different answers. However, Artificial Intelligence (AI) tools have significantly transformed the landscape of research across various disciplines. The integration of AI tools in research is a growing trend that brings about numerous advantages, including increased efficiency, enhanced accuracy, and the ability to tackle complex problems. As AI technology continues to develop, Suraj Kapoor , it will likely play an increasingly central role in shaping the future of research across disciplines.

Dear Suraj Kapoor , You may visit this discussion room with some answers related to your research question. I hope it will be of some help.

https://www.researchgate.net/post/List_of_AI_tools_used_in_Scientific_Research#view=67badcee02fbfaddf80fc7ec

‘AI models are capable of novel research’: OpenAI’s chief scientist on what to expect

Jakub Pachocki, who leads the firm’s development of advanced models, is excited to release an open version to researchers...

"When I joined OpenAI in 2017, I was still among the biggest sceptics at the company, but milestones have fallen faster than I expected. On the Turing test, we’ve made a lot of progress. After that the question was, what about math and problem solving? Well, we’ve made a lot of progress on them too, and I expect that the hardest benchmarks will be surpassed fairly quickly.

So the next very big milestone that I’m thinking about is AI making actual measurable economic impact, and, in particular, being able to create novel research. This for me is closest to what I previously emotionally thought of as AGI. This is something we’re focused on, and on that I expect very substantial progress before the end of this decade. Even this year, I expect that AI will, maybe not solve major science problems, but produce valuable software, almost autonomously."

https://www.nature.com/articles/d41586-025-01485-2

Dear Suraj Kapoor , this is very interesting survey!

Is it OK for AI to write science papers? Nature survey shows researchers are split

Poll of 5,000 researchers finds contrasting views on when it’s acceptable to involve AI and what needs to be disclosed...

"The survey suggests that current opinions on AI use vary among academics — sometimes widely. Most respondents (more than 90%) think it is acceptable to use generative AI to edit one’s research paper or to translate it. But they differ on whether the AI use needs to be disclosed, and in what format: for instance, through a simple disclosure, or by giving details about the prompts given to an AI tool..."

https://www.nature.com/articles/d41586-025-01463-8

Appliances of Generative AI-Powered Language Tools in Academic Writing: A Scoping Review

"Academic writing is getting through a transformative shift with the advent of the generative AI-powered tools in 2022. It spurred research in the emerging field that focus on appliances of AI-powered tools in academic writing. As the AI technologies are changing fast, a regular synthesis of new knowledge needs revisiting. Though there are scoping and systematic reviews of some sub-fields, the present review aims to set the scope of the research field of research on GenAI appliances in academic writing. The review adhered to the PRISMA extension for scoping reviews, and the PPC framework. The eligibility criteria include problem, concept, context, language, subject area, types of sources, database (Scopus), and period (2023-2024). The three clusters set for the reviewed 44 publications included (1) AI in enhancing academic writing; (2) AI challenges in academic writing; (3) authorship and integrity. The potential of AI language tools embraces many functions (text generation, proofreading, editing, text annotation, paraphrasing and translation) and provides for assistance in research and academic writing, offers strategies for hybrid AI-powered writing of various assignments and genres and improvements in writing quality. Language GenAI-powered tools are also studied as a feedback tool. The challenges and concerns related to the appliances of such tools range from authorship and integrity to overreliance on such tools, misleading or false generated content, inaccurate referencing, inability to generate author’s voice. The review findings are in compliance with the emerging trends outlined in the previous publications, though more publications focus on the mechanisms of integrating the tools in AI-hybrid writing in various contexts. The discourse on challenges is migrating to the revisiting the concepts of authorship and originality of Gen AI-generated content. The directions of research have shown some re-focusing, with new inputs and new focuses in the field. The transformation of academic writing is accelerating, with new strategies wrought in the academia to face the challenges and rethinking of the basic concepts to meet the shift. Further regular syntheses of knowledge are essential, including more reviews of all already existent and emerging sub-fields."

Article Appliances of Generative AI-Powered Language Tools in Academ...