Guest Post — All this AI Signal and Noise: What Deserves Action Now
Amidst the onslaught of industry and global changes, opportunities, and advancements, which signals deserve action now, which are context, and which are weather?
Amidst the onslaught of industry and global changes, opportunities, and advancements, which signals deserve action now, which are context, and which are weather?
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.
Academic and research libraries, as well as public libraries, historical societies, and other organizations, hold extensive collections of rare and unique materials, such as archival and manuscript collections. These materials form an essential part of humanity’s cultural and historical record, and they are the vital source material for many humanistic fields. I believe that a second digital transformation is at hand for distinctive collections. How can library leaders establish a strategy for their distinctive collections that is fit for purpose today?
Today’s guest bloggers posit four important trends in scholarly communications that our community should be ready to tackle.
The opportunity presented by AI is not to remove the human layer of scholarship. It is to recognize why that layer has always mattered.
The central risk of AI in scholarly publishing is therefore not hallucination but cognitive debt: the gradual erosion of the human capacities that give scholarship its originality, integrity, and meaning.
AI is now a permanent feature of the scholarly landscape. The question is no longer whether it should be used, but how it should be understood and governed.
Today Alice Meadows interviews Jennifer Fleet (Aries Systems) and Christian Gruback (ChronosHub) about changing author needs and how their recently announced partnership is an effort to address them.
Today’s guest post warns the community that, in the AI era, we cannot keep building the pieces that lay the foundation and letting someone else own what gets built on top of it.
Annual Reviews have been on a steady growth trajectory these last few years, so we sat down with Richard Gallagher to learn more about their latest acquisition.
Building robust citation and attribution into generative AI systems are foundational to usage, credit and trust. We need to expect more from AI.
Federated identity should be a natural fit for library access. So why isn’t it?
AI scholarly search tools often miss important literature due to incomplete metadata. Better full-text-derived metadata could significantly improve discovery.
The threat of zero-click search makes organizational brand more important than ever and presents a huge opportunity.