In academic and scientific research, it’s important to be original. Each study, analysis, and finding adds to what we already know.
This helps us learn more and find answers to questions we haven’t answered yet.
For a long time, researchers have used clear and objective language to explain complex ideas. Scientific writing focuses on being precise, using technical terms to explain things.
But there’s a new trend in academic writing that’s catching attention – researchers are using more specific and sometimes fancy adjectives. Read also The Impact of Generative AI on Job Happiness
According to a study by Andrew Gray, reported by EL PAÍS, there was a noticeable change in 2023. Gray looked at a large database of scientific studies from that year and found that certain adjectives were being used more often.
Words such as “careful,” “complex,” and “praiseworthy” became much more popular, increasing by more than 100% compared to previous years.
This sudden increase in using such detailed language is interesting because it happened at the same time as many people started using large language models (LLMs) like ChatGPT. These AI tools are good at creating text that sounds like it was written by a person, often using a wide range of words and sometimes adding a bit of style. While LLMs can be helpful for research, using them in scientific writing brings up concerns about being clear, original, and fair.
In March 2024, an article titled “Improving Lithium Batteries with a Special Structure” was published. The article talks about a unique structure made of copper-based material and organic compounds. This structure helps lithium batteries work better. Let’s dive in to understand more about how it works.
“Certainly, here is a possible introduction for your topic:Lithium-metal batteries are promising candidates for high-energy-density rechargeable batteries due to their low electrode potentials and high theoretical capacities…”
– Zhang Et al.
Although artificial intelligence (AI) has made life easier, we shouldn’t blindly trust it, especially in scientific research. Researchers should use AI as a tool for inspiration and guidance, rather than relying on it entirely.
Andrew Gray mentioned that writing entire studies with AI like ChatGPT is rare, but a bit of research shows it’s more common than we think.
Originality is crucial in scientific progress. Every new discovery adds to our understanding of the world. AI writing entire research papers risks perpetuating biases or missing important questions. Science needs human creativity and critical thinking.
We also need transparency in scientific writing. Researchers should openly disclose if they use AI tools. This helps reviewers and readers assess the work’s originality.
The scientific community should set clear guidelines on AI use in research. AI can help draft papers or summarize data, but it can’t replace human expertise.
As AI evolves, we must discuss its role in science openly. Transparency and originality are key to ensuring AI supports progress without compromising the integrity of scientific discovery.