Data Science Central: The connection between transparency, auditability, and AI
Up until recently, we accepted the “black box” narrative surrounding AI as a necessary evil that could not be extrapolated away from AI as a
Up until recently, we accepted the “black box” narrative surrounding AI as a necessary evil that could not be extrapolated away from AI as a
Explainable AI and interpretable AI have emerged as new ways of building trust in AI-enabled decisions.Model interpretability is the degree to which a human can
Explainability is one of the ways that we can build trustworthiness into AI. Listen to Modzy’s Head of Data Science, Clayton Davis, discuss why explainability
Modern software applications that are built on open architectures have huge advantages for enterprises interested in tight integrations, avoiding vendor lock-in, and maintaining the ability
Modzy is leading by example – committed to the idea that together, we can build AI free of bias, discrimination and that upholds a set
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