AI moderation fails to protect users because consent, cultural context, and power imbalances are ignored by profit‑driven platforms
Original framing: “The problem AI content moderation cannot solve” — Rest of World
Marginalised communities—such as LGBTQ+ users in repressive regimes, low‑income internet users, and diaspora groups—experience disproportionate harms from over‑broad moderation. Their lived experiences, often shared through grassroots digital collectives, are rarely consulted in algorithmic design. Elevating these voices is critical for equitable system redesign.
The failure of AI moderation to safeguard users is rooted in a convergence of profit‑driven platform design, historical media gatekeeping, and the erasure of Indigenous and marginalised conceptions of consent.
By foregrounding participatory governance, transparent data sovereignty, and culturally adaptive interfaces, we can reconfigure the power dynamics that currently privilege corporate control. Scientific audits anchored in historical analysis will provide the evidence base needed to hold platforms accountable, while trickster insights expose the paradoxes that sustain the status quo. Implementing these systemic solutions demands coordinated action from regulators, community councils, and technology developers, drawing on both global best practices and localized wisdom.