Multiple sources examine bias in AI detection programs and AI-driven recruitment tools. A Stanford study reveals that AI detectors incorrectly flag non-native English writing as AI-generated, raising ethical concerns about academic and professional applications. Further research confirms this bias and highlights the potential for discrimination against non-native speakers in various contexts. A separate review article investigates algorithmic bias in AI recruitment, exploring its origins in biased datasets and algorithm design, and proposing technical and managerial solutions to mitigate discrimination.