Yes, facial recognition technology may perform worse in accuracy for certain races. Multiple studies and surveys have shown that these systems sometimes show bias when identifying people of different racial and ethnic backgrounds. Typically, this inaccuracy is more prominent among people with darker skin. The reason for this phenomenon may be that the datasets used to train facial recognition algorithms often lack diversity and underrepresent racial groups, causing the models to be biased when processing underrepresented data. This technical bias may raise a series of social and ethical issues, including discrimination and injustice. This is why many industry experts and advocacy groups have called for special attention to the diversity of datasets and the fairness of algorithms when developing and deploying facial recognition technology to reduce or eliminate these biases.