Researchers found the platform’s algorithms promoted roles to certain users; company pledges to continue work in removing bias from recommendations
This paper seeks to study how computerized decision-making techniques compare to one another, and what accounts for the differences.
There’s software used across the country to predict future criminals. And it’s biased against blacks.
U of Texas at Austin has stopped using a machine-learning system to evaluate applicants for its Ph.D. in computer science. Critics say the system exacerbates existing inequality in the field.
A fight over replacing bail with "risk assessment tools" has split reform advocates. Some fear the change will worsen anti-Black discrimination.
Researchers show that computer vision algorithms pretrained on ImageNet exhibit multiple, distressing biases
State-of-the-art image-classifying AI models trained on ImageNet, a popular (but problematic) dataset containing photos scraped from the internet, automatically learn humanlike biases about race, gender, weight, and more according to new research from scientists at Carnegie Me
Accusations of unfairness over this year's A-level results in England have focused on an "algorithm" for deciding results of exams cancelled by the pandemic.
Pressure is mounting on ministers to let teacher-assessed grades stand in England to avoid a second wave of exams chaos hitting GCSE results this week.
As officials mull steps to tackle police brutality and racism, California’s Santa Cruz has become the first U.S. city to ban predictive policing, which digital rights experts said could spark similar moves across the country.