In 2018 at SSP New Directions, Neil Blair Christensen and Angela Cochran participated in an Oxford debate on the use of AI in Peer Review. Today, they revisit their main points and reflect on where they think we are today and will likely be in another 8 years.
Today’s guest blogger asks: How much do we read today? How do reading habits vary across generations? What should libraries and publishers do to encourage reading?
Today’s post explores issues facing scholarly publishers around AI — using it, layering it, competing against it, and licensing to it.
Today’s guest bloggers call for society publishers to recognize their unique role in shaping the systems researchers use to discover and evaluate knowledge.
Today’s guest post offers a review of a panel of publishers and editors discussing the pros and cons of using Generative AI, along with ethical and policy implications.
As AI-driven search reduces friction in information-seeking, what happens to serendipity, frustration, and “night science”?
Today’s guest blogger says academic librarians don’t need another class on how to use AI, but an institutional reflection on the emotional and mental cost of rushing innovations.
SSP’s second Pulse Check survey results paint a picture of an industry in defensive mode — cautious, structurally stressed, but not in freefall.
Today’s guest bloggers explain how semantic enrichment of scholarly content allows publishers to shape the next generation of technology by making it indispensable to AI.
A review of eight technology industry trend reports that offer a similar conclusion: AI is no longer a feature. It’s becoming infrastructure — and the unit of value is moving from “a better tool” to “a better system.”
Today’s guest blogger calls for “rehumanizing” our view on AI innovations and their impacts on our mental health and our communities.
Today’s guest bloggers spotlight a gap in traditional usage reporting, third-party AI usage, and recommend steps needed to recover missing usage data.
AI-driven zero-click search is widening the gap between visibility and usage, threatening publisher revenue, research integrity, and trust. How should we respond?
Current AI disclosure guidelines are failing and driving AI use underground rather than making it transparent. In this follow-up post, I turn to the more challenging question: what publishers should do about it.
Today’s post paves a clear path forward in making AI work for publishers in the brave new agentic world.