Category Archives: AI

Naming Algorithmic Concerns

What’s in a name? Everything of course. Naming creates identity but it also shapes affect. Take algorithms. The literature on algorithmic concerns about fairness and discrimination is vast and growing. The term “algorithmic bias” is most commonly used to describe … Continue reading

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Libraries as AI Model Repositories

Libraries and librarians have a critical role to support and enable explainable artificial intelligence (XAI). Calls for transparency and oversight of the opaque and potentially biased machine learning and deep learning systems have increased as the extent and influence of … Continue reading

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