Peer-indexed research on Zenodo
Introduces the eight-layer behavioral reasoning framework underpinning VERA Neural Intelligence, a conversational AI system designed to detect and respond to autonomic nervous system states through micro-signal analysis. Describes architecture, methodology, and domain application across 13 professional and personal contexts.
View on ZenodoPresents a framework for mapping autonomic nervous system states through conversational language patterns, drawing on Polyvagal Theory and applied neuroscience. Defines a taxonomy of linguistic micro-signals that correspond to sympathetic activation, dorsal vagal shutdown, and ventral vagal regulation.
View on ZenodoArgues that current AI governance frameworks define safety as the prevention of harmful output, a definition that is incomplete and in some cases actively harmful to the humans these frameworks claim to protect. Proposes a distinction between safe AI and honest AI, and presents a six-principle framework for truth-centered AI governance grounded in neuroscience and trauma-informed care.
View on ZenodoAPA 7th edition citation format
(2026). VERA Neural Intelligence: Behavioral Reasoning Architecture. Zenodo.
https://doi.org/10.5281/zenodo.19026982
(2026). Nervous System Mapping Through Conversational AI: A Behavioral Reasoning Architecture for Human Safety and Emotional Regulation. Zenodo.
https://doi.org/10.5281/zenodo.19036675
(2026). Intent, truth and governance: Why current AI safety frameworks fail the humans they claim to protect. Zenodo.
https://doi.org/10.5281/zenodo.19037372