Ensuring Transparency in AI Outputs: A Comprehensive Guide for Developers
Originally published on the Invoance blog. Most teams treat AI outputs like ephemeral function returns. The model responds, the response goes to the user, maybe a row gets written to a database, and that is the entire trail. When a customer disputes an answer six months later, when a regulator asks
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