CAN A MACHINE LEARN TO WRITE ACADEMIC PAPERS IN THE FUTURE INSTEAD OF STUDENTS?

Machine learning has been used to write a variety of books and artistic works over the years. Julia Joy Raffel's Dinner Depression, for example, was created entirely by machine learning.

So, how does AI accomplish this seemingly impossible task? The most popular method appears to be Natural Language Generation (NLG).

NLG is a rather seamless software process that creates written narratives from data using cloud computing. To put it another way, it takes data and turns it into a human-sounding written story.

Source: ITProPortal

Apart from the usage of NLG in creative writing, predictive text is another method in which AI has been integrated into the writing profession. You've got a taste of AI's role in writing if you've ever had a predictive text generator fill in some blanks for you while writing an essay.

Although AI has not yet been fully adopted by the global writing community, the concept of AI writing has significant advantages. Let's start with a quick overview of the complexities of producing an essay or academic paper.

“Writing is a hellish task, best snuck up on, whacked on the head, robbed and left for dead.”

This renowned quotation by Ann-Marie MacDonald, author of The Way the Crow Flies, elucidates how difficult and time-consuming writing can appear to experienced writers and college students alike. A 600-word essay, for example, could take anywhere from two to five hours to complete, depending on how basic or intricate it is.

However, AI can assist you in doing more work in a shorter amount of time. It also removes the stress associated with data collection, analysis, and transformation into narratives. As a result, many modern businesses are already incorporating AI into their content creation processes. The Washington Post, for example, has been experimenting with automated journalism by using a bot that analyses data and then assembles news items.

While there are various advantages to employing machine learning in writing, one essential feature that AI-generated literature lacks is the human touch. Writing bots do not allow for originality or artistic license because they carry out functions based on the grammatical rules they are programmed with.

Although AI technology produces grammatically correct and useful content, the final product is usually boring and lacks the extra flavor and creativity that a piece authored by a human writer would provide.

Despite the hype surrounding AI writers, it's doubtful that machine learning will completely replace students in essay writing - unless the academic world's originality criteria are lowered.

Despite the fact that AI writers can replicate human intelligence and translate facts into narrative at the speed of light, they lack the creativity, inspiration, and emotions that a student can provide. Robots will always remain robots, and as a result, mechanical, stilted artworks will continue to be produced.

Today's tools, such as Microsoft Word AI predictive text, can assist students in producing better writing. Many experts, however, believe that machine learning will never be able to replace the human touch. Subtlety, inventiveness, and powerful emotional relationships are built with the reader by human writers. AI writers can only function as collaborative tools for students looking to enhance their writing skills at best.

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To help their work, Newsmusk allows writers to use primary sources. White papers, government data, initial reporting, and interviews with industry experts are only a few examples. Where relevant, we also cite original research from others respected publishers.

Source: Analytical Insights

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