With thanks to Margaret Winker and WAME Newsletter
"Is AI ready to mass-produce lay summaries of research articles?...'All of the platforms produced something that was coherent and read like a reasonable study, but a few of them introduced errors, and two of them actively reversed the conclusion of the paper,' [Andy Shepherd, scientific director at global technology company Envision Pharma Group] says. It’s easy for AI tools to make this mistake by, for instance, omitting the word ‘not’ in a sentence, he explains. Ratcliff [an evolutionary biologist at the Georgia Institute of Technology] cautions that AI summaries should be viewed as a tool’s 'best guess' of what a paper is about, stressing that it can’t check facts."(Nature)
https://www.nature.com/articles/d41586-024-00865-4
HIFA profile: Neil Pakenham-Walsh is coordinator of HIFA (Healthcare Information For All), a global health community that brings all stakeholders together around the shared goal of universal access to reliable healthcare information. HIFA has 20,000 members in 180 countries, interacting in four languages and representing all parts of the global evidence ecosystem. HIFA is administered by Global Healthcare Information Network, a UK-based nonprofit in official relations with the World Health Organization. Email: neil@hifa.org
