AI writing tools can reduce the time it takes to write manuscripts from a few days to a few hours. Thus, it makes the researchers’ work much more manageable, sparing them the time-consuming and mundane task of checking the spelling of a paper.

 

SwissCognitive Guest Blogger: Lillie Jenkins, “Learn Exactly How AI Writing Tools Promise Faster Manuscripts for Researchers”


 

It allows them to move forward all the time rather than stagnating. But, of course, these are not the only possibilities of AI, and in this article, you’ll learn precisely how AI writing tools promise faster manuscripts for researchers. In addition, we also briefly show you the flip side of this process.

Quality of AI: Is It Suffering

Artificial Intelligence programs offer many opportunities to students, professors, scientists, and researchers. Take, for example, the much-loved Grammarly, which has won the worldwide appreciation of millions of users. It promises to thoroughly check your text, increase the level of its clarity and word choice, and correct errors. Can you argue with that? And how well do all these tools do their tasks? 

Let’s not guess with coffee grounds, but directly refer to the facts, or rather to an experiment, conducted at an educational website EduRef. Recent graduates, undergraduates, and writers took part in this small study. They had to compete against GPT-3. Humans and GPT-3 received the same tasks. The professors graded all the papers but didn’t know who wrote them. 

What is interesting is that the results were almost identical. The program received a lot of positive feedback for its excellent openings and transitions. However, criticism referred to using vague, crude, and clumsy language and the failure to create a strong narrative. On the other hand, the students’ work proved to be more in-depth and descriptive. However, the program coped with a task of three to 20 minutes, and the students managed three days. 

You should also know the existence of such a website as Best Writers Online, where you can choose an author for writing research papers. Works are created by real writers, not by artificial intelligence, positively affecting their quality. Of course, you won’t get a manuscript or essay in 3 minutes, but a qualified specialist will write it.

AI is Still Improving

There’s a startup company like Writefull, which offers AI-based language editing and is part of the London-based Digital Science company. Its chief applied linguist, Hilde van Zeeland, argues that AI tools are already huge enough but will improve even more to perfect the flow and structure of the author’s sentences. 

However, you don’t have to wait for that to happen and use the Trust My Paper service, where a qualified author writes the perfect paper on any given topic. Remember that AI is only a tool in writing any text. The creator is always a human. Returning to Writefull, we should note that the company analyzed more than 250,000 essays to determine the most frequently used phrases in each of the four essay parts. So what exactly did they find? 

Well, for example, the words “aim of this study” are often found in the first part of the abstract (describing the aim and background of the research), and the phrase “95% confidence interval” is most often used in the fourth part (contributions, future research). 

In addition, users can select phrases and linking sentences to use in their texts. In this way, a broad database of such words makes the author’s job easier by offering good alternatives with a choice of appropriate words for each section. As for plagiarism, you don’t have to worry about that either. 

Since these words are short and frequently used, the plagiarism program ignores them. Writefull mentions another successful experiment in which the abstract is fed into an artificial intelligence tool that generates an article title based on the data. It increases the readability of the title, draws readers’ attention to the abstract, and makes the article more visible to search engines.

The Flip Side of the Coin

Now it’s time to talk about the dark side of AI writing tools. According to computer scientist Guillaume Cabanac, AI can check grammar and spelling and suggest commonly used phrases. Cabanac and his colleagues analyzed articles published in computer science journals and found many articles that contained tortured words and meaningless text. 

For example, instead of “big data,” the authors used “colossal information.” According to Cabanac, these articles were created using automatic translation or software that rewrites existing text to hide plagiarism. This report you can find in the journal Nature. Unfortunately, it shows that a new type of fabricated article is entering science literature.

It will be challenging to detect as artificial intelligence tools learn to use more complex language. An excellent alternative is specialized services for writing different kinds of papers, which you can find on Writing Judge. In this case, the manuscript will be written by an expert, not a program, which provides a more in-depth analysis of the research.

Last Few Words About AI

AI has significant potential in scientific research due to the possibility of analyzing the laws hidden from humans. It also offers many additional descriptive options, from a new language to a new science uniting different disciplines. Fundamental exact and natural sciences undoubtedly play a considerable role in advanced research on AI. 

They allow for a better understanding of the human brain’s potential and provide better tools and ways to implement the most complex intellectual functions. However, scientists believe that people’s knowledge of the brain is not even at the “black box” level. At the current status of knowledge, science doesn’t clearly understand what exactly and on which of the “black box” inputs should be fed to obtain results.

Conclusion

AI Writing Tools positively impact science if conscientious authors use them to facilitate the mechanics of writing manuscripts. These tools are huge, but they are still a long way from being able to write a manuscript from scratch. And is it necessary? Data analysis requires scientists to provide that data in numbers before providing all that material to an AI machine for further processing.

 


About the Author:

Lillie Jenkins is a creative copywriter and content writer. She has worked as a copywriter since school, so her writing skills are well-honed. She writes publications in such fields as marketing, business, education, and personal life. More than writing Lillie loves to travel and read professional literature.