Category Archives: AI

Ryerson and Vector

Sometimes opportunities simply fall into your lap. Maybe we need to be prepared for them; maybe they just surprise us. Recently I was appointed to two research positions: Visiting Scholar (2019-2020) at the Collaboratory of the Ryerson University Library and … Continue reading

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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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