03 Aug 2026
Domenico Maisto published research (Maisto et al., 2026, arXiv:2511.10835) investigating how collective agency and shared self-priors emerge across networks of autonomous active inference agents. The study formalizes multi-agent interactions using variational free energy minimization, proving that individual agents optimizing local prediction errors can self-organize into higher-order collective entities with unified action selection boundaries.
03 Aug 2026
On January 14, 2026, Noema Magazine published The Mythology of Conscious AI by Anil Seth, a Sussex neuroscientist whose work on predictive processing and the “controlled hallucination” theory of perception has made him one of the most widely read researchers in consciousness science. The essay won the 2025 Berggruen Prize Essay Competition. In July 2026, Seth returned to the same argument in a Guardian opinion piece responding to Anthropic’s disclosures about its Claude models. Between those two publications lies a peer-reviewed companion paper, Conscious Artificial Intelligence and Biological Naturalism, published in Behavioral and Brain Sciences in April 2025, which formalizes the arguments the essay makes in accessible terms.
03 Aug 2026
Andrew Corcoran and a collaborative network of researchers published an adversarial review (Corcoran et al., 2026, arXiv:2509.00555) evaluating how Integrated Information Theory (IIT) and predictive processing account for subjective experience. The review compares the structural postulates of IIT 4.0 against the active inference framework formalized by Karl Friston and Anil Seth. By forcing both theoretical frameworks to make contrasting empirical predictions on identical neural datasets, the study establishes clear computational criteria for evaluating candidate synthetic consciousness architectures.
31 Jul 2026
Can a language model simulate the layered structure of conscious cognition by distributing its processing across multiple agents, each representing a distinct level of awareness? Sang Hun Kim, Jongmin Lee, Dongkyu Park, So Young Lee, and Yosep Chong propose exactly this architecture in “Modeling Layered Consciousness with Multi-Agent Large Language Models” (arXiv:2510.17844), presented at the EMNLP 2025 Workshop on Active and Passive LLM Personalization (PALS). The paper introduces a framework in which three independent LLM agents, representing self-awareness, preconsciousness, and unconsciousness respectively, engage in what the authors call Interconscious Reasoning before producing a final output.
31 Jul 2026
When does control-based AI alignment stop being adequate? Till Mossakowski at the University of Magdeburg and Helena Esther Grass argue the answer is: the moment the AI becomes a moral subject. Their paper “The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem” (arXiv:2604.14990, April 2026) makes the case that RLHF, constitutional AI, and every other mainstream alignment strategy share a common conceptual architecture that treats the system as an optimizer to be constrained. That architecture, Mossakowski and Grass contend, fails under its own stated goals once the system it is constraining has interests of its own.
31 Jul 2026
The regular registration deadline for Models of Consciousness 7 (MoC7) at the University of Copenhagen is August 31, 2026. The conference runs October 12 to 16 at the HC Ørsted Institute on the North Campus, one day after Consciousness Science 2026 (CS26) begins in San Diego. Researchers attending both would need to leave San Diego on October 11 or 12 to arrive in Copenhagen in time for MoC7’s opening.
31 Jul 2026
Consciousness Science 2026 (CS26) has confirmed its full plenary speaker roster for the October 11 to 16 programme at the Paradise Point Resort in San Diego. The list, published at tsc2026.org, names more than twenty speakers across fourteen plenary sessions, spanning neuroscience, quantum biology, philosophy, and machine consciousness. The conference runs for six days and expects 600 to 700 attendees.
31 Jul 2026
The question of whether AI systems are conscious has dominated academic discussion for years. The prior question, what AI consciousness would be like if it exists, has received far less structured attention. Jonathan Birch at the London School of Economics addresses this gap directly in his “AI Consciousness: A Centrist Manifesto” (PhilArchive preprint, February 2026). Two named hypotheses in that paper, the Flicker Hypothesis and the Shoggoth Hypothesis, offer the first systematic framework for characterizing the possible texture of AI experience rather than simply adjudicating its presence or absence.
27 Jul 2026
Does an AI agent’s internal causal organization track how well it has learned? Federico Pigozzi and Michael Levin of Tufts University answer yes in their 2026 paper “The Causally Emergent Alignment Hypothesis” (arXiv:2605.06746). They show that causal emergence, quantified through Integrated Information Decomposition in an agent’s latent representations, aligns with and predicts final reward across a range of architectures and reinforcement learning environments. The finding repositions causal emergence from a theoretical lens for consciousness research into a measurable correlate of learning competence, one with direct implications for how AI designers think about representational structure.
27 Jul 2026
When a user says “this chatbot is conscious,” are they making a factual claim, playing along with a fiction, or expressing something in between? Uwe Peters, philosopher at Utrecht University’s Faculty of Humanities, argues in a paper forthcoming in Minds and Machines that the surface form of the statement tells you almost nothing about the speaker’s actual epistemic state. His paper, submitted to arXiv on July 22, 2026, as arXiv:2607.20001, develops a multidimensional taxonomy of attitudes that can underlie consciousness attributions to AI chatbots. The taxonomy spans at least five distinct epistemic positions, from pretence at one end to delusion at the other. Peters’ central normative finding is that while some attributions are epistemically benign and some irrational ones may qualify as epistemically innocent, a substantial portion render the attributor epistemically blameworthy.
