Imposter Syndrome Among Women With Disabilities

Abstract

Disability women with disabilities are welcomed with twin exclusion through gender bias, ableism, and technologically driven marginalisation, further intensified by the emergence of Artificial Intelligence (AI). Imposter syndrome, persistent self-doubt despite ability, becomes an inescapable challenge, breaking down their confidence and professional advancement. This study explores the intersection of gender, disability, and AI in shaping impostor experiences using doctrinal analysis of legal documents, AI ethics guidelines, and international instruments such as the UNCRPD and CEDAW. The study illustrates that AI-powered work systems, learning tests, and employment monitoring tend to write and inscribe biases and magnify identity crises. At the same time, accessible and inclusive AI technologies can fight impostor feelings. It is suggested in the article that accessibility, intersectional inclusivity, and rights-based management be employed to enable equal AI to serve empowered disabled women and uphold human identity.

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