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.
A powerful way to quantify article quality has been hiding in plain sight. It’s time to bring data citations into the limelight.
AI scholarly search tools often miss important literature due to incomplete metadata. Better full-text-derived metadata could significantly improve discovery.
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.
Today’s post asserts that peer review, which is still of vital importance to science, is clearly failing in the current age — could AI save the day?
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 post explores issues facing scholarly publishers around AI — using it, layering it, competing against it, and licensing to it.
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.
Is open scholarship an honest signal of researcher integrity? We present preliminary evidence that data and code sharing, preprinting, and other open behaviors are indeed less common in papermill articles.
Only a negligible percentage of authors seem to actually be disclosing their AI use. Here’s why I think that’s the case.
Today’s guest post features an interview with William Gunn discussing how AI will (or won’t!) change the future of reference management tools.
Today’s guest author raises the question of whether a researcher submitting an article that was significantly drafted by an LLM without clear disclosure is effectively engaging in a contemporary form of ghost authorship.
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 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.