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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.
Machine Learning, Artificial intelligence, Presence Engine, Thesis, Large Language Models, Human-centric AI, Generative AI
Machine Learning, Artificial intelligence, Presence Engine, Thesis, Large Language Models, Human-centric AI, Generative AI
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). | 0 | |
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. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |