Researchers set forth a new summary of the forms gender bias can take and propose a new checklist to remedy the problems they discovered.
Widely used music algorithms are more likely to recommend and select music by male artists, at the detriment of female musicians. A new study addresses gender disparities in music-based algorithms.
Findings reveal female patients were perceived to be in less pain than males who reported and exhibited the same level of pain intensity.
People consider male magicians to be more skilled than women, even when they perform the same trick. However, the gender bias disappears when people are asked to think more critically about the tricks performed and figure out their own solutions.
A new study reports faces of people we believe to be more competent are also perceived to be more masculine.
