Translation: Experts call for the development of deepfake detection tools to consider the inclusion of individuals with darker skin tones to avoid bias. Currently, most deepfake detectors rely on learning strategies based on training datasets, but these approaches do not always cater to people with darker skin. Concerns about bias leading to minority groups facing increased pressure from fraud, scams, and misinformation have prompted experts to advocate for more inclusive training sets and measurement methods to address this issue.