The AI Transparency Trap
The absence of AI doesn’t guarantee trustworthy research. And neither does disclosing AI use.
The absence of AI doesn’t guarantee trustworthy research. And neither does disclosing AI use.
Today’s guest blogger argues that if we want scholarly publishing to be worth anything in a generation, we must acknowledge the risks we run by relying on intelligent automation.
Today we hear from some of SSP’s Advocacy Committee members about what changes they’d like to see to US federal support for research.
With the midterms approaching, read about this timely report on US government censorship of research on public health — the first to analyze the aggregated impact
Libraries and their vendor partners can build registries and metadata feeds that make MCP connectors for scholarly content findable, accessible, and usable.
Leadership in academia, publishing, funding, and across the supply chain must coordinate efforts to address research integrity. It is this collective responsibility that will restore and protect the credibility of research.
Today’s guest post is a call to action in support of OpenAlex and its role in author disambiguation.
Amidst the onslaught of industry and global changes, opportunities, and advancements, which signals deserve action now, which are context, and which are weather?
Today, the co-chairs of the 2027 SSP Annual Meeting discuss the theme and the importance of gathering to discuss what, how, and why we publish.
Thoughts on the Frankfurt Book Fair 2026: how do we turn trusted content into useful knowledge — and help people act on it?
On October 19 and 20, 2026, the Forum for Open Research in MENA (Middle East and North Africa; FORM) will hold its 5th Annual Forum entirely online. This year’s theme of resilience reflects the operating conditions facing many member organizations.
Today’s guest post reflects on how implementation, multilingual discovery, and cross-industry collaboration turned a metadata file into a map of the scholarly information supply chain.
Today’s guest post takes a deeper view into how researchers are currently engaging with AI and scholarly research, positing that we’re now seeing a shift from agentic discovery to consumption.
Today’s guest blogger reflects on why the next phase of AI adoption needs more evaluation, collaboration, and human judgment.
Today’s post explores the relationship between avoidance, attention, and healing, suggesting that psychological discomfort is not simply an obstacle to overcome, but a signal to understand.