Deepfakes and the Privacy of Black Women: An Analysis of Digital Harm & Racism

Department

North Carolina Agricultural and Technical State University

Document Type

Poster

Publication Date

4-17-2026

Abstract

Advances in artificial intelligence have enabled the rapid growth of deepfake technology. Deepfake technology uses artificial intelligence to create highly realistic but fabricated images and videos that shows individuals engaging in actions or speech that they never performed. Research indicates that a vast potion of deepfake content involves nonconsensual imagery targeting women. Black women may face severe harm due to the intersection of race and gender that shapes their experiences in digital spaces. This research study examines how deepfake technology contributes to privacy violations, reputation damage, and physiological harm for Black women. Through an intersectional lens, this study explores how racialized and gendered stereotypes are reproduced through synthetic media and how these representations reinforce broader systems of discrimination. This study employs qualitative research design consisting of content analysis of documented cases of deepfake misuse, a review of existing scholarly literature on digital privacy and artificial intelligence bias, and policy analysis of current legal and platform-based protections addressing deepfake abuse. Findings aim to identify patterns of racialized and gendered digital harm, evaluate gaps in legal and technological protections, assess whether current regulatory frameworks adequately address the unique vulnerabilities experienced by Black women. Ultimately, this research contributes to ongoing discussions on ethical artificial intelligence, digital privacy, and social justice by highlighting the need for storage, more inclusive policies that address the intersection of race, gender, and emerging digital technologies.

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