The Open Access Commons Under Siege: Navigating the AI Data Minefield
2025-03-16
The ideals of the open access movement clash with the realities of AI model training. Contributors are finding their work exploited for profit, even fueling harmful projects, leading to questions about the sustainability of knowledge sharing. This article explores solutions beyond restrictive licensing, advocating for fair collaborative models like Wikimedia Enterprise and Creative Commons' preference signals. Collective bargaining can ensure AI companies fairly compensate infrastructure costs, provide attribution, and reinvest in the commons, fulfilling the vision of universal knowledge access.