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Reconfiguration, Not Reinvention: Pseudo-Consciousness and Simulated Presence Literacy in AI Ethics

de Lima Prestes, José Augusto (2025) Reconfiguration, Not Reinvention: Pseudo-Consciousness and Simulated Presence Literacy in AI Ethics. [Preprint]

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Abstract

This article claims that the salient ethical risk of generative AI is not machine consciousness but the social efficacy of its simulation---what we call pseudo-consciousness. Read through Heidegger’s Gestell, Jonas’s anticipatory responsibility, and Floridi’s information ethics, we relocate appraisal from putative inner states to interactional effects in the infosphere. We formalize a two-part mechanism/uptake frame: functional introspection (FI)---first-person, reason-giving, self-repair, and local cross-turn stability---and ethical illusion (EI)---shifts in trust, respect, compliance, and moral ratings that attenuate on disclosure. Building on this, we propose simulated presence literacy (SPL) as a domain-specific facet of AI literacy that teaches users to perceive FI, appraise EI, and respond with counter-uptake practices. We then advance an ethics of appearance in design: four levers (semio-transparency, attenuation of reciprocity illusion, calibrated trust, and constraints on first-person density), two KPIs (FI Score, EI Index), a minimal 2x2 to test mechanism -> uptake and disclosure attenuation, and a five-step audit loop for governance. The result is a humanistic response---reconfiguration, not reinvention---that keeps fluency from passing for presence by making simulation legible, bounded, and accountable, with heightened precautions for vulnerable populations. In humanities research, teaching, and curation, treating LLMs as semantic artifacts, rather than as subjects, preserves interpretive agency while retaining the benefits of fluent assistance.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
de Lima Prestes, José Augustocontato@joseprestes.com0000-0001-8686-5360
Keywords: Pseudo-consciousness, Simulated presence literacy (SPL), Ethics of appearance, AI ethics, Human-AI interaction, Large Language Models (LLMs)
Subjects: Specific Sciences > Artificial Intelligence > AI and Ethics
Specific Sciences > Cognitive Science
Specific Sciences > Computation/Information
Specific Sciences > Artificial Intelligence
Specific Sciences > Cognitive Science > Consciousness
General Issues > Ethical Issues
General Issues > Models and Idealization
Specific Sciences > Cognitive Science > Perception
General Issues > Science and Society
General Issues > Science vs. Pseudoscience
General Issues > Technology
Depositing User: José Augusto de Lima Prestes
Date Deposited: 10 Sep 2025 13:00
Last Modified: 10 Sep 2025 13:00
Item ID: 26600
Official URL: https://doi.org/10.5281/zenodo.17085144
DOI or Unique Handle: https://doi.org/10.5281/zenodo.17085144
Subjects: Specific Sciences > Artificial Intelligence > AI and Ethics
Specific Sciences > Cognitive Science
Specific Sciences > Computation/Information
Specific Sciences > Artificial Intelligence
Specific Sciences > Cognitive Science > Consciousness
General Issues > Ethical Issues
General Issues > Models and Idealization
Specific Sciences > Cognitive Science > Perception
General Issues > Science and Society
General Issues > Science vs. Pseudoscience
General Issues > Technology
Date: 8 September 2025
URI: https://philsci-archive.pitt.edu/id/eprint/26600

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