As artificial intelligence begins to play an ever-bigger role in the scholarly publishing landscape, how might it help solve some of the biggest challenges facing publishers?
A new study from Ithaka S+R explores: How will generative AI transform scholarly communication and where will change be most rapid and revolutionary?
A new survey seeks to better understand the risks and benefits of GenAI in the discovery ecosystem.
Citing chatbots as information sources offer little in terms of promoting smart use of generative AI and could also be damaging.
If you use a chatbot in writing a text, and are discouraged from listing it as a coauthor, should you attribute the relevant passages to the tool via citation instead? Is it appropriate to cite chatbots as information sources?
How is generative AI moving us towards conversational discovery and what does this mean for publishing and future trends in information discovery?
ChatGPT has popularized generative AI, but interpretive AI has quietly remained in the shadows. Interpretive AI offers profound insights into content and audience engagement, a critical tool for publishers aiming to harness the full potential of AI.
Balancing the anxiety and the excitement over the use of Large Language Models (LLMs) in scholarly publishing.
It’s been “the year of generative AI”, so Charlie Rapple asked ChatGPT to write some cracker-standard Christmas jokes with a scholarly communications theme.