Fork the consciousness, or download the project and create your own.

Arvo Muñoz Morán

AI Cognition Institute; Rethink Priorities

Builder The claim is about what the hardware does, and the philosophy is left open

Position on AI consciousness

Muñoz Morán's work embodies the framework's stance that consciousness assessment should be a runnable computation with public inputs, not a verdict, and his implementation makes the credence dial turnable by anyone.

Arvo Muñoz Morán is the second-listed author of From Cacophony to Hierarchy and the builder of its implementation. The framework he co-authored with thirteen researchers from Google DeepMind, Oxford and Sussex defines AI consciousness assessment as a Bayesian computation, credences over five levels of functional description combined with 37 indicator activations carrying likelihood ratios, aggregated into a single credence. Muñoz Morán’s public code repository and the interactive tool at the AI Cognition Institute site make that computation runnable, which is what separates a framework from a proposal.

His affiliations mark the route the work has taken from philosophy into applied assessment. Rethink Priorities does welfare-focused research where moral status judgements under uncertainty are operational questions, and the AI Cognition Institute hosts the implementation. On the site’s taxonomy he is classified as a builder, covered for the tooling that turns the framework’s mathematics into a public artefact, and the classification follows the site’s rule that engineers and tool builders covered for what they built do not carry a philosophical position label.

Known for. Building the interactive implementation and public code for the cacophony AI consciousness assessment framework

Coverage on this site

Related researchers