Big data, machine learning and digital surveillance have the potential to create racial and social inequalities – and make existing discrimination even worse, according to a team of Cornell scientists addressing the problem.
Innovative projects to enhance undergraduate teaching and learning in nine departments have received funding administered by Cornell’s Active Learning Initiative.
Researchers at Cornell Tech found that people are far more likely to say they believe news stories that align with their own political views no matter what outlet they’re from. But when offered a cash bonus for accuracy, participants were more likely to trust the news stories that countered their views.
Creating new opportunities for industry partnerships and increasing engagement with the world beyond the lab could help researchers make a broader impact and meet grand challenges, said speakers at the “Deep Tech Eats Social Media for Lunch” panel, held Jan. 28 in the Upson Hall lounge.
A method intended to evaluate racial disparities in lending decisions can yield very different results depending on tiny changes in how it guesses applicants’ races, according to a new Cornell-led study.
Two Cornell Tech master’s students have developed a prototype for augmented reality headsets to help people who are deaf or hard of hearing navigate one-on-one conversations.
Citizen science databases can be inconsistent, but Cornell researchers have developed a deep learning model that effectively corrects for location biases, leading to more reliable predictions.
A study of 765 million downloads from streaming service Spotify reveals clear patterns in musical preferences based on geography, gender, time of day and other considerations.
