The Year Ahead: AI in Scholarly Publishing 2024

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The Year Ahead: AI in Scholarly Publishing 2024

For the last year and a half, the media and publishing world have generated a lot of buzz and discussion about one particular disruptive technology—artificial intelligence (AI). Though AI is not new to the publishing ecosystem, the launch of ChatGPT and the increased daily usage of Large Language Models (LLMs) for web research, writing assistance, and idea generation has raised questions (and problems) with how developer OpenAI trained its chatbot, how we are using this tech in our daily and professional lives, and what it all means for the future.

As an industry innovator in the use of AI to automate workflows and one of many entities experimenting with new applications of this technology, KGL is taking this opportunity at the start of the year to boldly forecast where AI will take scholarly publishing and beyond during 2024.

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Getting Real With AI

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Getting Real With AI

During our recent community event, PubFactory Virtual Series: Industry Day, KGL’s Waseem Andrabi, VP of Learning Solutions, presented the different areas where the company is exploring artificial intelligence (AI) in publishing workflows to improve efficiency and reduce errors. Potential applications include content creation, copyediting, plagiarism checks, translations, adaptations, animations, videos, voiceovers, and more.

The session provides insights into the challenges faced, particularly in AI-generated alt text for images where KGL has been testing APIs for over 10 months, with examples that illustrate the evolving capabilities and limitations of AI models. Despite mixed results, Waseem emphasizes the importance of ongoing evaluation and adaptation to leverage AI's potential benefits in various service areas. Watch the recording to learn more.

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Essential AI Reading: 5 Recently Published Must-Read Books

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Essential AI Reading: 5 Recently Published Must-Read Books

There is no shortage of books being published every year on this hugely important topic – some offering practical solutions towards working with AI to enhance our lives and others painting a pessimistic picture of the future. But with such a fast moving landscape, the bestselling AI titles from just a few years ago are already losing their relevance. With this in mind, here is a list of our recommended AI books that have been published within the last year.

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Top Five Author Pain Points

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Top Five Author Pain Points

“If it doesn’t come bursting out of you in spite of everything, don’t do it,” wrote Charles Bukowski in his poem “So you want to be a writer?” Being an author isn’t easy. Writers experience challenges in research, struggle with expressing their thesis, and even have writer’s block at times. But even if the ideas, the story, the research, and the writing all come bursting out of a writer, the difficulties don’t end there. Once the work is written, writers must then attempt to get their work published. And, as any writer can tell you, navigating the publishing process may be even more difficult than writing in the first place.

From an author perspective, the lack of development of this process poses significant difficulties during a time when their earnings have declined dramatically—42 percent over the last decade, according to an Authors Guild survey of trade and academic writer associations. The following are some of the more significant pain points for authors that publishers can help them navigate.

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Publishing Predictions for 2022

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Publishing Predictions for 2022

Global Accessibility, Advanced Analytics, New Content Types, and More

In what has become an annual tradition here at KGL, we take stock at the start of the year, consult our publishing experts, and go out on a limb to try and foretell what the future holds for our industry. After two years of uncertainty in life as we know it, here are nevertheless some of the top predictions for ongoing and emerging trends that we think publishers should bear in mind as we all make our way carefully into 2022.

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Maintaining Trust in Academic Publishing

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Maintaining Trust in Academic Publishing

In the early part of this year, as the COVID-19 pandemic spread rapidly around the globe, the international medical community was attempting to disseminate research as quickly as possible to educate an anxious public on an unknown virus and to advance treatments and ultimately, a vaccine. Social and traditional media featured an alarming amount of misinformation from non-scientific sources, which put even more pressure on journals to validate facts and deliver them as quickly as possible.

Unfortunately, as the pandemic reached a fever pitch, research was publicized and then retracted when questions arose about inconsistencies where journals and reviewers were not provided with the full set of data against which to conduct independent checks. “The hasty retractions…alarmed scientists worldwide who fear that the rush for research on the coronavirus has overwhelmed the peer review process,” reported the New York Times.

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SSP OnDemand: AI Goes From Disruptive to Imperative

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SSP OnDemand: AI Goes From Disruptive to Imperative

For the Society of Scholarly Publishers OnDemand Video Content Library, KGL participated in a panel discussion entitled, AI Goes From Disruptive to Imperative: Publishers overcoming hang-ups and getting real with intelligent automation, where we invited movers and shakers in AI to highlight why researchers and publishers must embrace the technology now in order to remain competitive.

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Fast-Tracking COVID-19 Research

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Fast-Tracking COVID-19 Research

Five Questions for Debbie McClanahan, KGL’s VP of Journal Publishing Services

I wanted to look deeper into other areas of the research workflow that can be expedited in the cause of helping authors and publishers vet and distribute important discoveries. So I consulted one of our internal experts, KGL’s Debbie McClanahan, VP of Journal Publishing Services, to draw on her decades of experience helping academic publishers take their content from accepted manuscript to copyedited, typeset and verified articles available for download.

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How Publishers Can Put AI to Use in the Pandemic

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How Publishers Can Put AI to Use in the Pandemic

Earlier in the year we predicted how artificial intelligence could impact the industry in 2020—with AI applications being created and perfected to increase discoverability, improve user experience, automate tedious clerical work, analyze trends, and expand the peer review pool. We also noted that publishers were beginning to feel less tentative about adopting these solutions into their workflows. At the time, we could not have imagined that a global pandemic would disrupt the industry and society in the way that it has. So in light of recent events, we wanted to revisit a few ways this technology can immediately be used to assist researchers, publishers, and the wider world.

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AI 2.0: Machine-Generated Content, Intelligent Automation, and the Future of Academic Publishing

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AI 2.0: Machine-Generated Content, Intelligent Automation, and the Future of Academic Publishing

Every year at the Frankfurt Book Fair, there is a buzzword or phrase that continues to pop up on panels, in articles, and in conversations and meetings. In the past, we have seen ‘big data’ and ‘blockchain’ dominate the headlines, but this year’s buzz word (or acronym) was ‘AI,’ as publishers, information professionals, service providers, and the media debated how this technology can be used in the industry.

Because machine learning and artificial intelligence are integral to KGL’s work helping to alleviate pain points for publishers, we partnered with Springer Nature to host a panel entitled “AI 2.0: Machine-Generated Content, Intelligent Automation, and the Future of Academic Publishing.” On the panel, speakers from KGL (Cenveo at the time), HighWire, and Springer Nature talked about everything from workflow automation and high-speed publishing, to companies that use machine learning and AI for discovery, peer review, and even highlighted emerging technologies which allow publishers to offer a broader range of tools and services to serve researchers and authors.

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AI Goes from Disruptive to Imperative

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AI Goes from Disruptive to Imperative

This article first appeared in the Publishers Weekly Frankfurt Show Daily on October 16, 2019.

Publishers have looked on as machine learning technology has developed—but now it’s time to leap.

Over the course of the last five years, AI, natural language processing (NLP), and machine learning (ML) have been much talked about, as well as trialed and tested, in the publishing industry. These technologies are often the focus of panel discussions at conferences such as this one, discussions that have illustrated how AI could be used for a variety of purposes: discovery, peer review, bestseller predictions, and, perhaps most importantly, improving publisher efficiency.

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AI and NLP in Publishing – Three Key Lessons from Industry Insiders

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AI and NLP in Publishing – Three Key Lessons from Industry Insiders

Recently we teamed up with Publishing Executive magazine to host an informative and enlightening webinar entitled “How Artificial Intelligence and Natural Language Processing Can Increase the Speed and Quality of Publishing”, which explored current use cases and future applications of AI and NLP.

This much-needed discussion demonstrated how publishers are working closely with technology providers to implement AI in an effort to help improve manuscript evaluation, simplify the editing process, improve author experience and boost the immediacy of science and research in the academic publishing sector. Here are just three of the many things we learned from the webinar.

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WEBINAR: How AI and Natural Language Processing Can Increase the Speed and Quality of Publishing

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WEBINAR: How AI and Natural Language Processing Can Increase the Speed and Quality of Publishing

A free webinar available on demand from Publishing Executive, sponsored by KnowledgeWorks Global Ltd. (formerly Cenveo Publisher Services)

For quite a few years, artificial intelligence seemed like just another buzzy term with vague implications on the publishing industry. But now, publishers are putting it into action. Through a range of applications, AI and natural language processing are being used by publishers to streamline workflows, produce higher-quality content, and improve the author experience. Greater automation also frees up valuable time to focus on critical efforts requiring human analysis and subject matter expertise. This webinar will explore current use cases and future applications of AI and NLP in the publishing sector and how they’re combining to make research and publications more timely, relevant and useful.

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AI and NLP for Publishers: How Artificial Intelligence & Natural Language Processing Are Transforming Scholarly Communications

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AI and NLP for Publishers: How Artificial Intelligence & Natural Language Processing Are Transforming Scholarly Communications

For scholarly publishers, AI capabilities have advanced to a degree that they can actually automate significant portions of their workflows, with massive implications for their businesses, their authors and the research community. In our latest report, AI and NLP for Publishers, we explore how AI and NLP are being used today in scholarly publishing and how it may impact the evolution of research. We also explore how the technology works and how publishers like Taylor & Francis are, with the help of KnowledgeWorks Global Ltd., realizing the benefits of intelligent automation.

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