Amazon proposes an 'audit‑then‑score' workflow to keep AI fact‑checking benchmarks dynamic
Amazon’s AGI team shows that static benchmark labels fail for AI‑generated research reports. Their audit‑then‑score protocol lets models challenge expert labels, with human auditors reviewing disputes and updating ground truth. The approach is accompanied by two new datasets for evaluating deep‑research factuality.