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Emergence Of Artificial Intelligence In Writing Industry

| October 23, 2018



With artificial intelligence generating more than 2.3 million jobs by 2020, there is a major shift in the way industries operate today. So, will the writing industry also be impacted by AI? This is a great opportunity for content writers and marketers to have successful careers. Therefore, it would be beneficial for writers to undertake artificial intelligence courses as it would give a significant value-add to their profession.

Types of AI Technologies Used In The Writing Industry

To analyse the development of AI in the writing industry, Let’s take a look at two major technologies that help deliver AI-generated content:

  • Natural language processing (NLP): It is the ability of a computer program to learn and interpret the human language as it is written or spoken.
  • Natural-language generation (NLG): It is a process that automates data input into human-friendly, data-driven content such as product descriptions, financial reports, and memos.

While these two technologies are not capable of writing a full-fledged novel, they can still create content like human beings to some degree.

How AI Has Emerged In The Writing Industry

Here are four essential ways in which AI has transformed the face of the writing industry.

  • Automated Proofreading And Editing

We are all familiar with the red line in Google Docs or Microsoft Word that indicates spelling errors. But, with the arrival of AI, there are several tools available that work more than just help you detect typos. For instance, certain free and paid versions of softwares such as Hemingway App and Grammarly use AI to recognise stylistic issues, vague language, super long sentences, overly wordy phrases, cases of the passive voice, and so much more!

It is great for writers, especially the non-native speakers who require help with whatever that they’re working on – be it blog posts, essays, or just an important email. It might not be best for professional editors who proofread and edit for a living, but no software or tool has been created yet to present a substantial editing that only a great editor can offer.

  • Translate Multiple Languages

Previously, if you needed to translate a piece of text from one language to another, for instance from English to French, then you had to get the help of a professional translator who understands both languages. Using a service like Google Translator a decade ago could only help you run through all the words with an English-French dictionary, but with very questionable (and sometimes funny) results. Google Translate had a significant upgrade in 2016, and instead of interpreting the text word by word, the tool now translates a sentence or phrase more precisely with the help of an AI system.

Writers could likely utilise Google Translate to interpret and translate a complete book into multiple languages for free! With technology developing leaps and bounds over the years to come, it could be an excellent news for self-published authors or publishers, but a concern for professional translators.

  • Checking Plagiarism

One dilemma that most publishers and universities have to deal with is plagiarism. A simple Google search from a text or a document can be sufficient to detect glaring plagiarism issues for a couple of lines. However, if a writer has replaced one in every seven words then it becomes a lot harder to spot the plagiarised content.

With tools such as Copyscape and Small SEO which utilise AI technology, you can check the authenticity of a document against a vast database. It works by signalling instances where there’s a match between the said document and existing references. In the future, AI technology could also be employed to reveal the origin of anonymous comments and posts on the internet and to expose authors writing under a pen name.

  • Drafting Reports

Synchrogenix is a company that offers AI solutions and automated clinical or non-clinical writing services. Healthcare industry uses Synchrogenix technology to generate CSRs (clinical study reports), which incorporate detailed results of multiple medications or summarise pharmaceutical trials. All you need to do is enter information into the AI application which will be used to generate a clinical report or simply enter a full clinical study and reports required to produce brief protocols or narratives. The application will render the data and present reports or narratives which are ready to be published.

The nature of CSRs needs a lot of effort and time, thus AI can be more efficient for this work than a person. Without AI technology, a professional could waste several weeks to generate a single CSR draft. AI technology can create a report in just 1 or 2 days and then the writer only needs to polish the rest 10 – 20% of the remaining draft.

According to Gartner, almost 20% of content written for business will be generated by machines. But, we can’t negate the point that writers have to conceive and create authentic written material which can’t be materialised by AI. The AI technology can assist with title suggestions, automated email and social media messages. However, in the future, content such as books, blog posts, movies, etc. are still expected to be created by humans for a personalised touch.

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Category: Articles & Advice