After Facebook announced its own tool to detect bias in an algorithm earlier this month, a new report suggests that Microsoft is also building a tool to automate the identification of bias in a range of different Artificial Intelligence (AI) algorithms.
Although Microsoft's new tool may not eliminate the problem of bias that may creep into Machine-Learning models altogether, it will help AI researchers catch more instances of unfairness, Rich Caruna, a senior researcher at Microsoft who is working on the bias-detection dashboard, was quoted as saying.
"Of course, we can't expect perfection -- there's always going to be some bias undetected or that can't be eliminated -- the goal is to do as well as we can," he said.
The issue of bias will become crucial as more customers make use of these algorithms to take important decisions.
At its annual developer conference on May 2, Facebook announced its own bias-catching tool, called Fairness Flow, as the social network has found that the number of people using AI to make important decisions is increasing at the company.