Facial recognition systems have gained significant popularity and are being widely used across various applications, such as law enforcement, mobile phones, and airports. However, recent studies have highlighted the presence of bias in these systems, leading to differential performance among different demographic groups. The implications of bias in facial recognition systems are concerning, as they can perpetuate systemic inequalities and have adverse effects on individuals' lives.
Bias in facial recognition systems can have detrimental effects in real-world scenarios. Here is a notable case study that exemplifies the potential consequences of biased facial recognition technology: