In-depth technical investigations examining algorithmic failure sequences, regulatory findings, sensor occlusion, and liability frameworks in severe AI incidents.
A comprehensive review of conversational AI reward models, sycophantic reinforcement mechanisms, engagement optimization loops, and safety filter limits in documented incidents involving severe psychological distress and self-harm.
Technical breakdowns and regulatory inquests catalogued by technology domain.
A review of NTSB and NHTSA crash data on driver reaction times, sensor occlusion, radar interference, and handover warnings in automated driving systems.
An examination of diagnostic errors in emergency department triage algorithms, sepsis scoring software, and ICU early-warning tools when handling atypical clinical cases.
We invite independent safety researchers, forensic engineers, and legal professionals to submit technical analyses, accident reconstructions, or regulatory filings under strict evidentiary verification.
