The Actual Science of James Damore's Google Memo
The science in Damore’s memo is still very much in play, and his analysis of its implications is at best politically naive and at worst dangerous.
The science in Damore’s memo is still very much in play, and his analysis of its implications is at best politically naive and at worst dangerous.
Tech companies are spending hundreds of millions of dollars to improve conditions for female employees. Here’s why not much has changed—and what might actually work.
An analysis of premiums and payouts in California, Illinois, Texas and Missouri shows that some major insurers charge minority neighborhoods as much as 30 percent more than other areas with similar accident costs.
Amazon, Verizon, UPS and Facebook among others were found to be limiting job ads to limited age groups.
Facebook’s system allows advertisers to exclude black, Hispanic, and other “ethnic affinities” from seeing ads.
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.
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