AI algorithms exhibit racial bias in job candidate screening, and they discriminate more frequently against those applying for multiple jobs at different companies, according to Stanford-led ...

A Stanford-led study of 4 million job applications reveals AI tools used by Fortune 100 companies systematically reject Black and Asian applicants.

AI computing providers are struggling to meet massive demand. Cloud computing is an excellent way to invest in future AI applications. 10 stocks we like better than Advanced Micro Devices › 2026 is ...

Campus placements at business schools as well as engineering institutions have been going through challenging times due to macro-economic factors accentuated by the impact of Artificial Intelligence ...

In May 2024, Adam applied for a UX designer role at the US-based grocery chain Kroger (he asked to be identified only by his first name to protect his identity). Adam heard back from a company called ...

AI hiring algorithms are riddled with harmful biases. This is a reflection of the real-life hiring data they were trained on, which is heavily biased. An estimated 70 percent of companies and 99 ...

For a long time, whenever companies wanted to hire a CEO or another key executive, they knew what to look for: somebody with technical expertise, superior administrative skills, and a track record of ...

AI audits may overlook certain types of bias, and they don’t necessarily verify that a hiring tool picks the best candidates for a job. I’m at home playing a video game on my computer. My job is to ...

Frankly, it was a little stressful to know that my application was being judged by a computer and not by a human being. A professional journalist, I had recently applied for a new job, and for the ...