Facial recognition technology has become increasingly popular in recent years, with many companies and governments using it for security and identification purposes. However, there have been concerns about the accuracy of facial recognition technology, particularly when it comes to gender and racial bias. Artificial intelligence (AI) has been touted as a solution to these issues, but is it really the answer?
Gender bias in facial recognition technology has been a well-documented issue. Studies have shown that facial recognition algorithms are more likely to misidentify women than men, particularly women of color. This is because the algorithms are often trained on datasets that are predominantly male and white, which means they are less accurate when it comes to identifying people who do not fit this profile.