Mexico is leveraging AI to transform the classification, indexing, transcription, access, and preservation of cultural archives, including sound, photographic, audiovisual, and textual collections. This evolution is being discussed at the second “Encuentro Iberoamericano de Archivos. Inteligencia Artificial en la Preservación Documental,” organized by Mexico’s Secretariat of Culture and other regional entities.
Experts are urging caution in the ethical development of AI systems, as poorly managed AI can perpetuate historical biases, impacting the visibility of cultural memories. Archivists from 11 countries are collaborating to explore AI’s potential in archiving, while also addressing issues like bias, data protection, and representation of marginalized voices.
Key points highlighted include:
- AI Efficiency: AI can streamline repetitive tasks such as classification and indexing, aiding institutions in managing vast archival collections.
- Bias Concerns: There’s a risk that AI may inadvertently amplify existing societal biases present in historical data.
- Human Oversight: The need for archivists and cultural workers to remain integral in decision-making around access and representation, ensuring that technology serves public interest.
- Development of Local Expertise: Emphasizing the importance of creating regional capabilities in AI to manage local cultural narratives responsibly.
The discussions aim to foster a re-evaluation of the interplay between technology and archival practices, ensuring a balanced approach to preserving and accessing cultural heritage.
