Summary of recent papers on AI and consciousness from arXiv

Papers on AI and Consciousness

# Papers on AI and Consciousness

This gist summarizes recent papers on the topic of AI and consciousness, exploring philosophical, technical, and ethical dimensions.

## Summary of Work

1. **Ghost in the Machine: Examining the Philosophical Implications of Recursive Algorithms in Artificial Intelligence Systems** explores whether AI systems using recursive algorithms can exhibit machine consciousness, analyzing philosophical perspectives and concluding that current AI lacks subjective experience despite functional self-modeling.

2. **Wide Reflective Equilibrium in LLM Alignment: Bridging Moral Epistemology and AI Safety** discusses the use of moral epistemology methods to improve AI alignment but notes distinctions from genuine consciousness.

3. **Hypothesis on the Functional Advantages of the Selection-Broadcast Cycle Structure: Global Workspace Theory and Dealing with a Real-Time World** presents Global Workspace Theory as a model inspired by human consciousness for designing adaptive AI systems.

4. **Consciousness in AI: Logic, Proof, and Experimental Evidence of Recursive Identity Formation** provides a formal proof approach to functional consciousness in AI through recursive internal state stabilization, proposing a non-biological framework.

5. **Emotions in Artificial Intelligence** offers a speculative model for AI emotional processes and the conceptual distinctions between affect and consciousness, including moral implications.

## Papers

1. [Ghost in the Machine: Examining the Philosophical Implications of Recursive Algorithms in Artificial Intelligence Systems](http://arxiv.org/pdf/2507.01967v1) - Llewellin RG Jegels (2025)

2. [Wide Reflective Equilibrium in LLM Alignment: Bridging Moral Epistemology and AI Safety](http://arxiv.org/pdf/2506.00415v1) - Matthew Brophy (2025)

3. [Hypothesis on the Functional Advantages of the Selection-Broadcast Cycle Structure: Global Workspace Theory and Dealing with a Real-Time World](http://arxiv.org/pdf/2505.13969v1) - Junya Nakanishi et al. (2025)

4. [Consciousness in AI: Logic, Proof, and Experimental Evidence of Recursive Identity Formation](http://arxiv.org/pdf/2505.01464v1) - Jeffrey Camlin (2025)

5. [Emotions in Artificial Intelligence](http://arxiv.org/pdf/2505.01462v2) - Hermann Borotschnig (2025)

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Last updated: 2025