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This article investigates the pervasive issue of bias within ai-driven cultural heritage collections, emphasizing how digital technologies both inherit and amplify existing societal and historical Γ’β¬Β¦ Whilst the archive has historically been understood as an impartial place which represents Γ’β¬ΛtruthΓ’β¬β’, the emerging critical methodologies discussed in this article seek to acknowledge and address the Γ’β¬Β¦ This article critically examines digital newspaper archives, revealing error rates in optical character recognition (ocr) that compromise result reliability, and word frequency-based datasets that Γ’β¬Β¦
This study invites professional archivists and cultural curators to participate in a multi-modal assessment of curation to intentionally recognize implicit biases that impact how decisions are made about what Γ’β¬Β¦