A new study from Cornell on AI writing assistants finds these tools have the potential to function poorly for billions of users in the Global South by generating generic language that makes them sound more like Americans.
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Home care workers unaware of AI’s role and potential benefits
A team of Cornell researchers investigated the implications of AI tools on the work of frontline home health care workers, such as personal care aides, home health aides and certified nursing assistants, in a qualitative study.
Dataset reveals how Reddit communities are adapting to AI
Researchers at Cornell Tech have released a dataset extracted from more than 300,000 public Reddit communities, and a report detailing how Reddit communities are changing their policies to address a surge in AI-generated content.
Nice flex: AI-powered smart clothing logs posture, exercises
Researchers at Cornell have developed a new type of smart clothing that can track a person’s posture and exercise routine but looks, wears – and washes – just like a regular shirt.
AI ring tracks spelled words in American Sign Language
A Cornell-led research team has developed an artificial intelligence-powered ring equipped with micro-sonar technology that can continuously and in real time track fingerspelling in American Sign Language (ASL).
Securing America’s AI Future: Cornell faculty offer recommendations for White House’s AI Action Plan
The US has led AI innovation; however, global competition, is rising. In response to a call from the White House regarding the future of Artificial Intelligence, faculty from the Cornell Ann S. Bowers College of Computing and Information Science and Cornell Tech...
$10.5 million gift to Cornell will fund research using Empire AI
A five-year, $10.5 million gift from philanthropist Tom Secunda, co-founder of Bloomberg L.P., will help fund artificial intelligence-related research at Cornell Tech in New York City and at the Cornell Ann S. Bowers College of Computing and Information Science in Ithaca.
AI models makes precise copies of cuneiform characters
Deciphering some people’s writing can be a major challenge – especially when that writing is cuneiform characters imprinted into 3,000-year-old tablets. Now, Middle East scholars can use artificial intelligence (AI) to identify and copy over cuneiform characters from photos of tablets, letting them read complicated scripts with ease.