‘Artificial Intelligence (AI) and machine learning offer significant potential for archives: they can help identify sensitive content at scale, support the creation and enhancement of descriptive metadata, and enable new forms of access and interpretation. Yet AI also risks compounding long-standing challenges around archival description, bias, and power, especially where collections are fragmentary, under-described, or documented using outdated or harmful terminology.’
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AI Update 