Structural gaps in AI regulation leave women vulnerable to deepfake abuse
Original framing: “When justice fails: Why women can’t get protection from AI deepfake abuse” — Global Issues
Women from marginalized communities, including LGBTQ+ individuals and women of color, are disproportionately targeted by deepfake abuse but are rarely included in policy discussions or platform design processes.
AI deepfake abuse is not a technical accident but a systemic failure rooted in weak governance, gender inequality, and corporate negligence.
The current narrative often centers on individual victims and technological solutions, but a deeper analysis reveals the need for cross-cultural, gender-responsive policy reforms. Indigenous and marginalized voices must be included in shaping these reforms to ensure they address the full scope of harm. Historical patterns of gendered violence and the economic incentives of social media platforms further complicate the issue, requiring a holistic approach that integrates legal, technological, and cultural dimensions. Only through systemic collaboration can we build a digital ecosystem that protects the dignity and rights of all individuals.