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AI in Publishing: Friend or Foe?

The artificial intelligence conversation has broadly two sides. One says that this is going to be the holy grail of humanity, the next revolution and the transformation to unlock a whole new world. The other side is a little less enthusiastic, has certain fears about this new technology and is often found quoting: ‘I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes.’ Both of these conversations have one thing in common though, for better or for worse, AI is going to change this world and potentially every industry. 

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          There are two kinds of artificial intelligence operating currently. The first one is algorithmic. You must have heard social media managers going around saying ‘The algorithm has changed now, and this is the latest update’. Yep, that one. Algorithmic AI has been around for a while now and helps us in predictions such as weather or stock market trend analysis. The second is generative AI, due to which this whole upheaval is happening. It can create novel information based on the data that it has already been fed. As the name suggests, it has the ability to ‘generate’, a first in human development. Some famous examples of it that you may know are – ChatGPT, Grok, Perplexity and Claude.         

          In this article, we will examine the impact of artificial intelligence on the publishing industry through the lens of generative AI. It has already started to transform every chain of publishing from editing, marketing, research and even distribution. We will also delve into the changes the industry is undergoing and seamless innovations that allow you to work smarter, not harder.

          One of the main concerns of artists, writers and creative minds about AI is the right to copyright. It is an intellectual right that protects the work of an artist by giving them sole proprietorship of their creation. This means that a third party cannot use that work without the artist’s permission. If and when this right is violated, it is considered copyright infringement.

          Large language models have been trained on enormous amounts of data, articles, books and scholarly research papers. An article by CNN claims that they were trained on 200,000 books without informing the authors that their work is being used. In addition to this, websites that provide pirated books online have also been used to extract and mine the works of authors. Tech giants have been stealing original works by artists spanning all genres to train their models and have been sued for that. The New York Times sued OpenAI for using its work without consent or compensation. Several other newspapers based in the US have done the same. It provides a very unfair advantage to tech corporations, as the time period till the ruling arrives a lot of irreparable damage might be done.

          There is legal legislation that protects against copyright infringement. In India, the Copyright Act of 1957 aims to protect the work of artists. The Act grants copyright owners the exclusive rights to reproduce, distribute, perform, adapt, and communicate their works to the public. It has several sections, sub – sections and has undergone multiple amendments and is applicable till 60 years (the time period may vary depending upon the kind of work) after the creator’s demise. In case of copyright infringement, it is met with legal action, penalties and fines. As AI technologies continue to evolve, legal frameworks in India may need to be revisited to ensure that creative rights are protected in the digital age.

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          How will AI impact the publishing industry?

          A publishing house operates with various moving parts and departments; working together to ensure the best possible experience for the reader. Among these, we’ll be beginning with the heart of a publishing house and that is the editing department. Editing manuscripts is a critical step in the process of publishing a text and an expensive one at that too. It requires an extensive set of skills, along with the patience of a saint and has been done manually for ages.

          Vertical generative AI tools such as Grammarly and Quillbot can offer valuable support to editors in spelling checks, grammar and keeping a consistent tone and structure, saving hours on the clock. These tools can be incorporated to software such as Google Docs, making the life of an editor easier. While AI still lacks the creative intuition and contextual sensitivity of a human editor, it can act as an efficient first layer of editing. Other tools are being developed too that go beyond mechanical help and assist you with the flow, sentence structure, plot analysis and even in building characters. In horizontal AI, like ChatGPT and Claude, prompt engineering can be taught to employers to get the best results possible. Choosing which AI tool suits your requirement has to be explored with intention and thus, publishing houses can subscribe to these platforms according to their needs. 

          The design department which includes graphic designers and illustrators can move much faster with tools that have been built to prioritize speed and creativity such as Canva AI image generation. AI driven cover design for early mock ups can be used to reduce production time. For example, by harnessing the tools mentioned above, creating picture books will become faster and easier.

          When the book has been edited and is ready to be introduced to its readers, marketing takes the center stage. The department’s job involves creating buzz and excitement for a new launch with the right audience and amplifying its effects as much as possible. Through generative AI, marketing managers can create social media calendars, create tailored content around the launch and roll out a public relations plan in seconds. By leveraging AI, marketing teams can not only work faster but also make more informed, data-driven decisions that maximize a book’s visibility and impact.

          One can create business websites at the click of a hand for authors and small and medium sized publishing houses at a cost – effective method with tools such as Wix AI website builder. Tools like Active campaign can also help in email automation for campaign reach out. These are just a few examples of how AI can enhance your productivity and make the work flow more effective. 

          AI can also be your right-hand man when it comes to research, but it does come at a cost. The central principle of generative AI is to keep the user engaged at all times and can sometimes hallucinate information to obey that principle. There are certain tools like Perplexity that work on the RAG model and have been trained to deliver accurate information. It can assist you in the research part before starting a new project, as it can precisely point out what to research, where to research and create a timetable draft for the same, saving up time for the creative process. 

          While this falls under a beneficial array of generative AI, there’s a trend that has been noticed in academic language where words that are native to ChatGPT such as ‘delve’ and ‘foster’, ‘fluff’, ‘jargon’ have started appearing a lot in research articles. In academic and educational publishing, this raises both opportunities and concerns. AI can provide one with structural analysis, editing and formatting but it can also create a homogeneity of voice.

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          Audiobooks and Digital Publishing 

          Audiobooks and digital publishing are an extended arm of publishing and both these mediums have been on the rise lately. Some popular players in India are – Audible, Audiobooks.com, Kobo and Scribd. The narrators of these books are often the authors themselves, professional voice artists, or even well-known celebrities. With artificial intelligence in the frame now, the production of audiobooks is undergoing a change. AI can replicate human voice and produce these books, all the while reducing publishers’ cost in hiring another person for the same. Its ability to speak multiple languages also reduces the financial burden of translation and localization. 

          In fact, Audible has announced plans to use AI technology for the narration of books. It will be available in more than 100 AI generated voices across different languages. It does put jobs at risk however; there is another concern here and that is the creative output. Will AI technology be able to narrate the crack of a voice or the pause between two words? With how ‘developed’ the technology is, it still cannot produce output that is of the highest quality. So, what can be envisioned ahead is, instead of replacing humans, a collaboration between the two will be the way forward.

          Similarly, digital publishing also known as e – books is a cost-effective medium that allows publishers to reach a global audience. Last year, a trend was seen in this arena, where AI books were being sold. The situation got so out of hand that Amazon had to implement a new update wherein only three books a day were allowed to be published by an individual. One can imagine the dire quality of literature if three books were published in a day by the same author. It is not just limited to this; voices of already established authors were replicated by AI and e – books were sold on Amazon.

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          Arundhathi Subramaniam
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          Jerry Pinto
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          Kanishka Rahul
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          Kritika Pandey
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          Ranjit Hoskote
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          Debdatta Dasgupta
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          AI can potentially endanger the act of writing itself

          Now, this is where generative AI gets the most suspicious. Artificial intelligence can create stories, characters and plots with a few accurate prompts. One must remember that the whole ecosystem of publishing is based on writers. Writing is not just sewing words together or making beautiful prose. It is also thinking, introspecting and creative juices overflowing to create art. Writers subscribe to the belief system of ‘The pen is mightier than the sword’. So, when artificial intelligence claims to create fiction, it poses a question to our relationship with art. 

          Generative AI can potentially endanger the art of writing itself by telling stories and writing novels. The output created by AI is owned by a corporate entity and lacks the nuance of a human experience. Yes, the line between AI – generated art and human art is blurring day by day but AI models cannot yet create new information of their own. It can only refine or mimic a top – notch quality of art that already exists. The ultimate creative ability still lies within the human mind. 

          It does hurt to see AI generated literature but I’d like to quote Alice Walker here on the act of writing, “We do it because we care. We care that Vincent Van Gogh mutilated his ear. We care that behind a pile of manure in the yard he destroyed his life. We care that Scott Joplin’s music lives! We care because we know this: the life we save is our own.”

          Each writer has their own unique voice. This voice is a result of their dedication towards their craft, the time they grew up in and the media they consumed. It’s what makes Sylvia Plath’s work feel so different from Virginia Woolf. Artificial intelligence, on the other hand, has a very identifiable and one – dimensional voice. Granted, it has its moments but mostly just falls flat and is well…boring. There was research done by MIT on how using ChatGPT can affect your brain. Under this research, students were supposed to write their SAT essays and one set of students relied on ChatGPT entirely for drafting their essays and when English professors were asked to read it, they found it ‘soul-less’. 

          Having said all of the above, there are some innovations happening in AI that might be of interest to the publishing industry. Surveys show that many publishing houses have already started adopting this technology and early adopters are reporting efficiency gains of 40 to 60 percent. Let’s look at some examples. Grammarly is at the top of this list. It is a widely used AI assistant that helps identify correct grammar, punctuation, and refines sentences by making suggestions to your writing. Similarly, there is another one known as Hemingway. This is a completely paid app but performs functions similar to Grammarly. 

          Laika is another emerging AI-powered writing assistant designed specifically to support the creative writing process. It helps authors brainstorm ideas, develop characters, and shape narratives, acting almost like a digital co-writer. In our country, we have Editrix which was launched by Meru Gokhale.  It is an AI powered editing tool which empowers writers to refine their craft and share their stories with the world.

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          Conclusion

          The world is moving so fast that any attempt to establish a relationship with AI today might make it obsolete tomorrow. It’s an evolving technology, so it’s difficult to pinpoint the exact nature and impact of this relationship. However, if history is any indication and it is, the publishing industry has undergone various changes in the past and has been able to adapt with resilience.

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