Can AI help us recover "lost" history, or does it just reinforce existing biases?
The Digital Humanities in the Nordic and Baltic Countries (DHNB) 2026 theme is "Lost in Abundance." As we digitize millions of records, we risk focusing only on the "canonical" (the famous people and events). Scholars are now using AI agents to find "non-canonical" trendsโthe stories of everyday people, fringe political movements, and under-resourced languages.
- Challenge: If an AI is trained on historical data that is already biased toward the powerful, can it actually help us find the marginalized voices? Or are we just building a faster way to confirm our own prejudices?
- Case Study: Look into the University of Salzburgโs 2026 Digital History Conference focus on "Doing Cultural Heritage" through digital mediation.
