Nigerian men who wear their hair in knots are not a new phenomenon, but the hairstyle's spiritual heritage sparks fear in the hearts of many.
Half a century after the federal government voided Jim Crow laws, the criminal justice system still discriminates against African Americans.
Bias, stereotypes and other rules of thumb influence how people think about you – even based on your name.
New study reveals small variations in the background colour of photos in police lineups can increase misidentification.
Google's algorithms reflect bias against members of racialized and gendered groups.
The way books are sorted at the library can be highly political, touching upon issues of race and identity.
Awareness campaigns can only go so far to stopping the stigmatization of mental health. Change occurs once we stop shaming ourselves and others for our bias.
Law enforcement officials aren't trained in recognizing hate crimes, leaving national numbers on these attacks unreliable.
Recent hoax papers in humanities don't show what they claim, but need to be taken seriously.
Expecting algorithms to perform perfectly might be asking too much of ourselves.
Women, like men, are susceptible to bias when it comes to defending those in their ‘in-group’ from accountability for sexual assault.
After a dramatic week at the ABC that sees them without a permanent managing director nor a chair, there remain serious questions about government interference and the broadcaster's independence.
A new study suggests perceptions of how strongly people of color identify with their race can have a big impact on their job prospects and how much money they earn.
While many military veterans do well on campus, not everyone feels welcome or their views matter. Here's what universities can do better.
The public broadcaster tries to cater to all views, but sometimes that's a dangerous strategy.
More interracial couples are appearing on TV and in advertising. But is media exposure enough to change attitudes?
Information on social media can be misleading because of biases in three places – the brain, society and algorithms. Scholars are developing ways to identify and display the effects of these biases.
Starbucks is implementing implicit bias training for its employees in the United States and Canada. Even though we are not aware implicit biases, they lead to discriminatory behaviours.
It can be unpleasant to be mistaken for someone of a different gender. When an algorithm does it secretly, it's even more concerning – especially for transgender and gender-nonconforming people.
Starbucks is giving this training to its employees, but it’s still so new that there's no standard format and little research yet on whether it's effective.