This presentation explores the paradox of increased access to digital tools for documentation and archiving. While access empowers community-driven efforts, it also exacerbates challenges such as market saturation, unpaid labor, institutional dependency, misinformation, and external manipulation. Case studies from Brazil and Iran reveal how accessibility can undermine autonomy and accuracy.

This paper explores a crisis in global AI Art culture, which tends to be appropriated by corporate entities that do not respect the principles of FAIR and CARE. What this means is that AI, despite its technological potential, more likely exacerbates inequality and discrimination in collectives like indigenous cultural expressions.

The Journal of Open Humanities Data supports FAIR data sharing and reuse through peer-reviewed articles. In 2024, a special collection of papers titled Amplifying GLAM Collections: Scalable and Inclusive Data Practices was created to increase representation of cultural heritage datasets and practices. This paper will describe the results and implications.