Terms of (Algorithmic) Endearment: Engineering Trust into Your AI Stack
Aaron Wise
Engineering trust into your AI stack demands ethics embedded in product design through bias audits, explainability tools, and cross-functional oversight.
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Aaron Wise
Engineering trust into your AI stack demands ethics embedded in product design through bias audits, explainability tools, and cross-functional oversight.
Aaron Wise
Privacy-preserving techniques like differential privacy and federated learning protect data from ingestion to model deployment.