Could Distributed Peer Review Better Decide Grant Funding?
The landscape of academic grant funding is notoriously competitive and plagued by lengthy, bureaucratic processes, exacerbated by difficulties in finding willing reviewers. Distributed […]
The large language models, or LLMs, that underlie generative AI tools such as OpenAI’s ChatGPT, have an ethical challenge in how they parasitize freely available data.
Title of course: Space/Power/Species What prompted the idea for the course? A few years ago, I came across the architect Joyce Hwang’s […]
Paul Allin sets out why the UK’s Royal Statistical Society is launching a new campaign for public statistics.
The origin of the phrase “publish or perish” has been intriguing since this question was first raised by Eugene Garfield in 1996. Vladimir Moskovkinl talks about the evolution of the meaning of this phrase and shows the earliest use known at this point.
Philosophy has been instrumental to AI since its inception, and should still be an important contributor as artificial intelligence evolves..
It is estimated that all journals, irrespective of discipline, experience a steeply rising number of fake paper submissions. Currently, the rate is about 2 percent. That may sound small. But, given the large and growing amount of scholarly publications it means that a lot of fake papers are published. Each of these can seriously damage patients, society or nature when applied in practice.
The new AI Disclosures Project seeks to create structures that both recognize the commercial enticements of AI while ensuring that issues of safety and equity are front and center in the decisions private actors make about AI deployment.
The retraction of academic papers often functions as an indictment against a researcher’s reputation. Tim Kersjes argues that for retractions to function as an effective corrective to the scholarly record, they need shed this punitive reputation.