Technology in Diverse Populations
Abstract
Abstract The digital transformation of clinical neuropsychology offers substantial opportunities to enhance access, precision, and efficiency in assessment and intervention, but these advancements often risk exacerbating existing inequities. This chapter examines how tele-neuropsychology, m-health tools, wearable and smart technologies, virtual reality, large-scale data approaches, and artificial intelligence intersect with the digital divide and structural barriers affecting minoritized and underserved populations. It highlights how limited digital access, technological literacy gaps, nonrepresentative datasets, and algorithmic bias can undermine validity, reinforce disparities, and erode trust among underserved populations. Drawing on cross-disciplinary frameworks, the chapter underscores the need for culturally responsive design, inclusive sampling, community engagement, equity-focused data governance, and bias mitigation strategies. Recommendations are offered for ensuring that technology-enabled neuropsychological services are accessible, culturally grounded, and ethically implemented across diverse communities.
