Today’s post asks us to acknowledge the role of AI in peer review and ensure practical guidance and policies that help scholars respond with consistency and confidence.
A Cambridge workshop proposes new standard work to support provenance, attribution and metrics in scholarly communications AI tools.
Building robust citation and attribution into generative AI systems are foundational to usage, credit and trust. We need to expect more from AI.
Today, we feature a friendly debate on the question: which parts of the research lifecycle should be more automated, and which require more of a human touch — and why?
Today’s guest post is the first in a two-part series — we begin by facing up to the fact that AI will not become the content windfall the way many in the publishing industry hope.
Today’s guest blogger observes how advances in technology create unprecedented opportunities in open scholarship, and asks: Can incentive structures keep up?
Today’s guest blogger reflect on their panel discussion about policies and realities of AI in scholarly communications at COPE’s Publication Integrity Week event last month.
Today’s guest blogger challenges us to look beyond the hype of AI, and embrace AI agents handling platform grunt work, validation, and parallel processing that expands what we can accomplish with immediate and substantial productivity gains.
As the search and user behavior landscapes undergo dramatic evolutions, marketers and others are left to wonder what SEO means for publishers now.
We talk a lot about AI in scholarly communications and publishing, but today, we ask the Chefs: What’s your favorite AI hack?
Today’s guest blogger shares highlights from a recent panel at the New Directions Seminar that concluded AI is simultaneously the largest challenge and the largest opportunity.
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.
Scholarly communications leaders have the opportunity to turn AI uncertainty into discovery.
Guest blogger Hema Thakur shares results of her experiment using AI to improve the accessibility of peer review feedback — her findings may concern you!