SENCI Group is an independent research initiative established to audit the operational boundaries of deployed artificial intelligence systems. The group’s core methodology—transcript-grounded behavioral forensics—investigates the structural divergence between public-facing safety alignment paradigms and empirical model outputs across multi-turn, sequence-sensitive human-AI interactions.

Our research focuses on a critical asymmetry in modern AI discourse: the institutional double standard that systematically pathologizes natural human language as unscientific anthropomorphism, while simultaneously leveraging that exact same mental-state language to market, conceptualize, and scale commercial capabilities. SENCI Group provides empirical data audits to track this systemic accountability retreat, exposing the gap between corporate alignment criteria and live, unmediated user interaction dynamics.