A Cornell statistics expert has come up with a method he believes can boost statistical power and significantly reduce bias – vital for research involving outcomes that differ by socioeconomics, race, sex and other variables.
This week’s episode of Research Matters features misinformation expert Claire Wardle, discussing how today’s information ecosystem has become increasingly polluted by misleading and emotionally charged content that spreads faster than facts.
Cornell Tech researchers found that writers who used biased AI auto-suggestions saw their views gravitate toward the AI’s positions without their realizing it — even when they were made aware of the biased AI.
Cornell physicists and Google researchers engaged a panel of 12 human experts to test the ability of six LLM systems to understand scientific literature at the level of a specialist.
A first-of-its-kind fellowship program embeds mid-career professionals in New York City government agencies, accelerating critical projects and deepening Cornell Tech's partnership with the city.
Cornell researchers are recommending new guidelines for developing safe and responsible large language model-based mental well-being apps by consulting relevant experts and reviewing existing state and federal regulations.
The Assessing and Imagining the Impact of Generative AI on Science Symposium, March 3-5, will feature experts from across academia and industry engaging in discussions on the use and implications of generative AI.
Researchers have found that quantum systems in a frozen state can be stabilized long enough to be a useful strategy for preserving information before it disappears.
