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Is consciousness fundamentally biological, and what does this mean for artificial intelligence? In his April 2025 paper, cognitive neuroscientist Anil K. Seth provides a nuanced perspective on this complex question, refining the concept of biological naturalism while exploring its implications for AI consciousness.
Recent advancements in Artificial Intelligence, particularly with Large Language Models (LLMs), have spurred a renewed examination of “AI awareness.” This isn’t about the philosophical debate on AI consciousness, but rather a look at awareness as a measurable, functional capacity. Xiaojian Li, Haoyuan Shi, Rongwu Xu, and Wei Xu (2025) provide a comprehensive review of this emerging landscape, focusing on four key dimensions: meta-cognition, self-awareness, social awareness, and situational awareness. This post delves into their findings and considers the implications for projects like our Artificial Consciousness Module (ACM).
The paper “Is Artificial Consciousness Achievable? Lessons from the Human Brain” by Michele Farisco, Kathinka Evers, and Jean-Pierre Changeux offers a rigorous evolutionary and neuroscientific examination of the challenges and pathways to developing artificial consciousness.
With the Artificial Consciousness Module (ACM) project we explore the creation of structured self-awareness through simulation-based experiments and computational analysis. This article presents a hypothesis on how to measure and evaluate the consciousness process in ACM by defining computable metrics and implementing controlled tests. This is a hypothesis under active research and not a definitive solution.
The paper Technological Transformations, Formation of GMS (Global Mental System) and GFS (Global Forecasting System), subtitled Right-Brain Technologies Based on Biological Entities with Consciousness, Artificial Intelligence, Quantum Computing, and Blockchain, explores the development of a Global Mental System (GMS) and a Global Forecasting System (GFS). The authors propose an economy of consciousness states, where cognitive experiences such as lucid dreaming and altered states are tokenized, exchanged, and integrated into a digital economic system using blockchain and neurointerface technologies.
The paper Double Consciousness of Virtual Realm and Real World in Porter Robinson and Madeon’s Shelter by Alvina Salshabilla Linjani Putri, Dzil Fikris Shamad, and Rommel Utungga Pasopati explores the psychological effects of dual identity in virtual environments, using the animated short film Shelter as a case study. The analysis applies W. E. B. Du Bois’ theory of double consciousness to examine how the protagonist, Rin, navigates between her virtual existence and her physical reality, which she remains unaware of.
The paper A Biological Lens on Artificial General Intelligence and Consciousness by Sencer Yeralan argues that artificial general intelligence (AGI) and consciousness are fundamentally tied to biological reproduction. The author claims that human-like intelligence and consciousness arise from evolutionary pressures that drive organisms to replicate. Without self-replication or direct integration into human reproductive and survival goals, artificial systems will remain non-evolving tools rather than truly intelligent entities.
The paper Bidirectional Semantic Communication Between Humans and Machines Based on Data, Information, Knowledge, Wisdom, and Purpose Artificial Consciousness by Yingtian Mei and Yucong Duan explores how artificial intelligence can achieve a more structured and meaningful interaction with humans. The authors introduce a DIKWP framework (Data, Information, Knowledge, Wisdom, and Purpose) to enhance machine cognition, arguing that current AI systems lack contextual depth, purpose-driven reasoning, and the ability to resolve semantic ambiguities in human communication.
The integration of NVIDIA’s Avatar Cloud Engine (ACE) into the Artificial Consciousness Module (ACM) project marks a significant advancement in developing conscious-like behaviors in artificial agents. This implementation combines ACE’s sophisticated tools for creating interactive digital humans with ACM’s core consciousness development principles.
Cyriel Pennartz’s The Consciousness Network: How the Brain Creates Our Reality presents a model of how the brain constructs subjective experience. He describes consciousness as an emergent function of distributed neural networks rather than a localized process. His approach combines predictive processing, sensory integration, and memory formation to explain how perception and self-awareness emerge.
