Poster: The Haunting Problem — Recognizing Semantic Absence in Trauma-Aware AI
Year: 2025
Type: article
Abstract: This poster summarizes the theoretical foundation of The Haunting Problem, introducing semantic absence as a new class of verification failure in trauma-aware AI. It visualizes how emotional silence, suppression, and dissociation—often overlooked by conventional affective models—can be represented as formal states within a verifiable system. The work outlines how absence itself becomes a detectable and ethically meaningful signal, bridging multimodal affective data (language, audio, and microexpressions) with symbolic verification through Z3 satisfiability logic. This visualization accompanies the full preprint: The Haunting Problem: Recognizing Semantic Absence in Trauma-Aware AI (George, 2025), available at https://doi.org/10.5281/zenodo.17578153
Author: George, Michelle Lynn
Institution: Vanderbilt University
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7104880297
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