Robert Harington provides a template for scholarly societies wondering how to grapple with the overwhelming and omnipresent prospect of an AI future.
In 2023, AI has been back in the news in a big way. Large Language Models and ChatGPT threatened our’s and many other industries with huge disruption. As with so many threatened techno-shocks, a large degree of this one was hype, but what will happen after the hype fades. What, if anything, will be the lasting legacy of ChatGPT?
The challenges offered by artificial intelligence require a different approach than that seen for plagiarism detection.
Was a recent Scholarly Kitchen piece analyzing the capabilities of ChatGPT a fair test? What happens if you run a similar test with an improved prompt on LLMs that are internet connected and up to date?
To identify both benefits and risks of generative AI for our industry, we tested ChatGPT and Google Bard for authoring, for submission and reviews, for publishing, and for discovery and dissemination.
An update on how generative AI has progressed and how it has been applied to research publishing processes since ChatGPT was released, looking at business, application, technology, and ethical aspects of generative AI.
The AI takeover isn’t all doom and gloom. Finally, a long running musical question can be answered.
Digital transformation can revolutionize the world, turning it into an inclusive place for people with and without disabilities, with accessibility powered by artificial intelligence.
Data quality and record keeping are going to grow in importance as a result of AI applications.
The impact of the changes artificial intelligence will cause rests on how creative humans can be at harnessing novel technologies to the greatest benefit. The challenge, then, for publishers, is to ensure they are the creative adopters leading the charge, as opposed to being trampled by better customer experiences created by other technological disruptors.
Morressier’s Sami Benchekroun advocates for a mindset shift from resisting change to embracing adaptation in order to drive a new, more efficient infrastructure for scholarly communications.
Can current AI offerings be trusted as research tools?
Saikiran Chandha discusses the impact of GPT-3 and related models on research, the potential question marks, and the steps that scholarly publishers can take to protect their interests.
Avi Staiman discusses the value that ChatGPT can bring to scholarly communication, particularly leveling the playing field for English as an Additional Language authors.
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