Guest Post – Artificial Intelligence in Scholarly Publishing: Are We Moving Faster Than the Evidence?
Today’s guest blogger reflects on why the next phase of AI adoption needs more evaluation, collaboration, and human judgment.
Today’s guest blogger reflects on why the next phase of AI adoption needs more evaluation, collaboration, and human judgment.
Today’s Fun Friday post introduces a new anti-censorship tool — Word Wipe allows you to see what a world redacted of words banned by the US government looks like.
Some readers are foxes, and some are hedgehogs. What kind of reader is AI, and how will that impact both the practice of science and the business of journal publishing?
In today’s Mental Health Monday post, Ja’Nya Jenoch, a licensed mental health counselor, professor, author, and health researcher, takes us through the history of maternal mental health, unpacks terms such as postpartum depression and maternal separation anxiety, and explores the complex systems and pressures that shape the experiences of many mothers.
As AI research assistants learn our preferences, they may also become better at mirroring our assumptions. Avoiding that outcome will require more than a better prompt.
Today’s post is the second in a series arguing that fractures appearing across research systems are symptoms of a mismatch within today’s research ecosystem.
Today’s guest post asserts that AI infrastructure will let publishers truly leverage machines, while brand and community are what will keep them meaningful to humans.
Today’s post shares the results of an initiative designed to answer the question: what would it actually take to build a publishing model fit for the research ecosystem we have now, rather than the one we inherited?
Faced with technological shifts not seen since the advent of the internet, Todd Toler and Angela Cochran posit that the biggest challenges for organizations building an AI strategy are human, not technology.
As AI-driven search reduces friction in information-seeking, what happens to serendipity, frustration, and “night science”?
AI has opened a new chapter in the saga of science and peer review. Today, guest author Prof. Nihar B. Shah explains how, if guided with integrity, AI can open galaxies of possibilities.
Today, we talk to thought leaders Helen King and Chris Leonard, who offer a nuanced look at how peer review might adapt, fracture, or reinvent itself in the AI era.
Guest blogger Hema Thakur shares results of her experiment using AI to improve the accessibility of peer review feedback — her findings may concern you!
How can organizations facilitate safe and comprehensive engagement with AI? And how can individuals within those organizations engage and advocate for their own AI literacy?
In today’s Mental Health Awareness Monday post, Lisa Colledge shows how your research culture can be an asset that boosts mental health and innovation.