LLM — Blog — KnowledgeWorks Global Ltd.

The integrity of scholarly research has always been one of the most—if not the most—important pillars of academic publishing. Authenticity, accuracy and reliability have always been the bedrock of the industry and a source of great pride for those working within it. However, in recent times, as models have evolved, the way we publish and consume content has changed and the world has become more interconnected, we have witnessed the emergence of several significant threats to research integrity. Subsequently, the role of journal publishers has had to adapt as we defend ourselves against these threats and strive to maintain credibility. In this article, we examine a few of the challenges and threats that journal publishers are currently facing.

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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The Battle for Research Integrity

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