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Other literature type . 2025
Data sources: Datacite
ZENODO
Other literature type . 2025
Data sources: Datacite
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Presence Engine™ Thesis: Building Human-Centric AI Experiences (AX)

The Theory of Change
Authors: Antiparty, Inc. | Tionne Smith;

Presence Engine™ Thesis: Building Human-Centric AI Experiences (AX)

Abstract

The Presence Engine™ Thesis introduces Human-Centric AI Experiences™ (AX), a new category of emotional AI infrastructure that prioritizes presence, trust, and dignity over productivity and data extraction. This white paper outlines the core problem of depersonalized AI systems, presents the theory of change for AX, and integrates insights from critical thinking dispositions research. By framing emotional presence as foundational infrastructure, Presence Engine™ establishes a pathway for ethical, scalable, and human-aligned AI systems.

Keywords

Machine Learning, Artificial intelligence, Presence Engine, Thesis, Large Language Models, Human-centric AI, Generative AI

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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