The Trust Stack: Building AI You Can Rely On from Data to Deployment
Aaron Wise
Trust in AI requires a layered stack from data transparency to human oversight, ensuring reliability, fairness, and accountability at every stage.
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Aaron Wise
Trust in AI requires a layered stack from data transparency to human oversight, ensuring reliability, fairness, and accountability at every stage.
Aaron Wise
Chomsky’s theory of universal grammar underpins modern NLP and challenges data-driven AI to prioritize interpretability and cognitive realism.
Aaron Wise
Explainable AI turns complex models transparent using techniques like SHAP, LIME, and feature importance to build trust and compliance.