Lately, it feels like everyone is talking about responsible AI — but what does it actually mean when you are the engineer pushing a model to production?
You already check for latency, accuracy, and monitoring before a release — but do you ever check off “ethical AI”? When your model delivers a prediction or recommendation and a user asks, “Why these results and not the other ?”, do you have a clear explanation or just a shrug and “the algorithm suggested it”? This is the uncomfortable gap between AI capability and AI accountability.