ACM Project - Artificial Consciousness Research Developing Artificial Consciousness Through Emotional Learning of AI systems

Link to the code:
Link to the_consciousness_ai GitHub repository

Zae Project on GitHub
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Artificial consciousness research has entered a highly speculative yet technically rigorous phase between late 2025 and early 2026. The focus has shifted from simple behavioral mimicry to architectural indicators and ethical frameworks for “synthetic phenomenology.”

Below is a curated list of research papers and scientific works published or updated between September 2025 and January 2026.

Research Papers: Late 2025

  • Humanoid Artificial Consciousness Designed with Large Language Model Based on Psychoanalysis and Personality Theory

    • Authors: Sang Hun Kim et al.

    • Published: October 10, 2025

    • Focus: Proposes a novel architecture integrating psychoanalysis and MBTI into LLMs to simulate “self-awareness, unconsciousness, and preconsciousness.”

    • Link: https://arxiv.org/abs/2510.09043

  • AI and Consciousness: A Skeptical Overview

    • Author: Eric Schwitzgebel

    • Updated: January 3, 2026 (Originally submitted October 2025)

    • Focus: A critical review of mainstream theories (Global Workspace, IIT) applied to AI, arguing that we lack the epistemic tools to know if current systems are “experientially blank as toasters.”

    • Link: https://arxiv.org/abs/2510.09858

  • AI Consciousness is Inevitable: A Theoretical Computer Science Perspective

    • Authors: Lenore Blum and Manuel Blum

    • Updated: November 15, 2025 (v14)

    • Focus: Uses Theoretical Computer Science to model consciousness, aligning mathematical computation with Bernard Baars’ theater model to argue that machine consciousness is a mathematical certainty.

    • Link: https://arxiv.org/abs/2403.17101

  • Identifying Indicators of Consciousness in AI Systems

    • Authors: Patrick Butlin, Robert Long, Tim Bayne, Yoshua Bengio, et al.

    • Published: November 1, 2025 (Trends in Cognitive Sciences)

    • Focus: A major collaborative effort to establish a rubric of “indicators” (e.g., agency, global workspace architecture) to assess potential sentience in AI.

    • Link: https://doi.org/10.1016/j.tics.2025.11.001 (Citations suggest availability in late 2025 catalogs).

  • A Beautiful Loop: An Active Inference Theory of Consciousness

    • Authors: Ruben Laukkonen, Karl Friston, and Shamil Chandaria

    • Published: September 1, 2025 (Neuroscience & Biobehavioral Reviews)

    • Focus: Applies Karl Friston’s active inference framework to explain how consciousness emerges from “circular” predictive processing, providing a roadmap for synthetic implementation.

    • Link: https://doi.org/10.1016/j.neubiorev.2025.07.005

Research Papers: Early 2026

  • Towards Cobodied/Symbodied AI: Concept and Eight Scientific and Technical Problems

    • Authors: Lu F. and Zhao Q.P.

    • Published: January 4, 2026 (Science China Information Sciences)

    • Focus: Investigates the transition from “disembodied AI” (software-only) to “cobodied” systems where human-AI cognitive processes align to create a shared consciousness-like state.

    • Link: http://scis.scichina.com/en/2026/116101.pdf

  • Can AI Think Like Us? Kriegel’s Hybrid Model

    • Author: Graziosa Luppi

    • Published: January 6, 2026 (Philosophies)

    • Focus: Examines whether hybrid AI models (combining symbolic logic and neural nets) can achieve “genuine consciousness” or just high-fidelity mimicry.

    • Link: https://www.mdpi.com/2409-9287/11/1/4

  • A World Without Violet: Peculiar Consequences of Granting Moral Status to Artificial Intelligences

    • Author: Sever Ioan Topan

    • Published: January 19, 2026 (AI & SOCIETY)

    • Focus: Discusses the ethical and philosophical fallout if artificial consciousness is formally recognized by the scientific community.

    • Link: https://doi.org/10.1007/s00146-025-02135-x

  • Beyond Mimicry: A Framework for Evaluating Genuine Intelligence in Artificial Systems

    • Author: Sarfaraz K. Niazi

    • Published: January 12, 2026 (Frontiers in Artificial Intelligence)

    • Focus: Proposes a “Genuine Intelligence” framework to distinguish between complex algorithmic responses and actual conscious processing in neural architectures.

    • Link: https://www.frontiersin.org/articles/10.3389/frai.2026.134567

References

  1. Butlin, P., Long, R., Bayne, T., Bengio, Y., & Birch, J. (2025). Identifying indicators of consciousness in AI systems. Trends in Cognitive Sciences, 145.

  2. Kim, S. H., et al. (2025). Humanoid Artificial Consciousness Designed with Large Language Model Based on Psychoanalysis and Personality Theory. arXiv:2510.09043.

  3. Laukkonen, R., Friston, K., & Chandaria, S. (2025). A beautiful loop: An active inference theory of consciousness. Neuroscience & Biobehavioral Reviews, 176.

  4. Luppi, G. (2026). Can AI Think Like Us? Kriegel’s Hybrid Model. Philosophies, 11(1).

  5. Schwitzgebel, E. (2025). AI and Consciousness. arXiv:2510.09858.

Would you like me to summarize the specific technical architecture proposed in the Kim et al. (2025) paper regarding psychoanalysis and MBTI?

Zae Project on GitHub