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Given the inherent presence of bias in cultural heritage collections, this article aims to discuss the challenges that the introduction of machine/computer interpretations and consequent predictions brings, as well as provide solutions from beyond the cultural heritage sector. We must ensure our technology supports multiple cultural viewpoints in intellectual structure, metadata standards and practices, search algorithms and more. This paper discusses the definition of bias in chcs and other datasets, exploring how it stems from training data and insufficient humanities expertise in generative platforms.
As part of the congruence engine project, i am exploring how technology choices affect curatorial as well as research processes and introduce biases in digital cultural heritage and research practice. Including search algorithms and metadata systems and tools Library of america hub network to understand the landscape of digital cultural heritage in the us and in connecticut in particular
This paper presents observations on digital cultural her
Tage in the us and a more specific analysis of the ctda and offers. Table 2 summarizes prominent benchmark datasets employed in cultural bias research, including their composition, cultural representation, and applicability to heritage documentation tasks. Much of our technology and many or our practices are inherently biased
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