The use of data, Artificial Intelligence (AI) and data science techniques are becoming increasingly pervasive in daily life and research activities. However, neither data nor computational techniques are neutral tools. Historical archives and datasets are themselves the products of selective curation reflecting underlying biases and power dynamics of the context of their creation and collection as well as inequities in access, infrastructure, and perspective. The datafication of historical sources risks to amplify these issues, introducing further challenges related to taxonomy, categorization, and conceptualization, further entrenching existing biases, erasing pluralities in historical narratives.
This conference seeks to examine the ethical dimensions of data usage within historical research, fostering discussions among scholars that provide practical tools and strategies to navigate these challenges.
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