Giulio Tononi
University of Wisconsin-Madison
Integrated information Consciousness is intrinsic causal power, measured as integrated information
Position on AI consciousness
Tononi holds that most current AI is ruled out, because feedforward networks have near zero phi however capable they are, and that a simulation of a conscious brain would not be conscious, since the simulation's causal structure is the computer's rather than the thing simulated.
Giulio Tononi built the only major theory of consciousness that works backwards. Rather than examining brains and inferring what consciousness is, integrated information theory starts from properties experience is taken to have, that it exists, is structured, specific, unified and definite, and derives what a physical substrate must be like to have them. The quantity phi measures the result, how much a system’s cause and effect structure exceeds the sum of its parts.
The derivation has consequences most people find surprising and Tononi accepts. Feedforward networks have near zero phi however capable they are, so most current AI is ruled out. A simulation of a conscious brain would not be conscious, because the simulation’s causal structure is that of the computer rather than of the thing simulated. And simple systems with the right connectivity can score very high, which Scott Aaronson turned into the sharpest objection the theory has faced.
Tononi’s response to that objection is the most revealing thing about the theory. He did not dispute the mathematics. He accepted that the system in question is conscious and argued that our intuitions about which things have experience are unreliable. That is internally consistent, and it detaches the theory from independent checks, which is why phi remains uncomputable in practice and contested in principle.
Known for. Integrated information theory and the quantity phi
Coverage on this site
Research Papers and Preprints
- Tononi, Grasso, and Hendren on QStr, a New Method for Measuring Intrinsic Structure in Any Substrate August 2026
- Scott Aaronson and the Expander Graph Objection to Integrated Information Theory August 2026
- The Tononi Lab and the Phi Structure at the Centre of IIT 4.0 August 2026
- Melanie Boly and the Neural Correlates of Pure Presence Under IIT August 2026
- Giulio Tononi IIT Field Formulation Continuous AI Architectures 2026 August 2026
- Integrated Information Theory Field Formulations and Resolving IIT 4.0 Misunderstandings July 2026
- Tononi and Boly's IIT 4.0 Why Consciousness Is Identical to Cause-Effect Structure June 2026
- When IIT and GNW Were Put to the Test What the Cogitate Consortium Found April 2026
- Measuring Consciousness in Machines The Brock University and IONS Research on IIT Equations April 2026
- Differentiating AI and Consciousness and IIT Perspectives for TCAI January 2025
Articles and Commentary
- Before the Frameworks, There Were Shows How Classic Television Invented the AI Consciousness Problem March 2026
Related researchers
- Matteo GrassoUniversity of Wisconsin-Madison, Center for Sleep and ConsciousnessIntegrated Information Theory 4.0 and the structural description of the quality of experience
- Jeremiah HendrenUniversity of Wisconsin-Madison, Center for Sleep and ConsciousnessStructural modeling of phenomenal experience within Integrated Information Theory
- Larissa AlbantakisUniversity of Wisconsin-Madison, Center for Sleep and ConsciousnessIntegrated Information Theory 4.0 and dissociating intelligence from consciousness in artificial systems
- Andrew M. HaunDepartment of Psychiatry, University of Wisconsin-MadisonCo-author of Integrated Information Theory 4.0 (IIT 4.0), visual psychophysics, spatial cause-effect structures, cortical grid geometries
- Melanie BolyDepartment of Neurology, University of Wisconsin-MadisonCo-developer of Integrated Information Theory 4.0 (IIT 4.0), Neural Correlates of Pure Presence, EEG/fMRI consciousness biomarkers, minimal phenomenal experience
- Adam B. BarrettSussex Centre for Consciousness Science, University of SussexContinuous field formulations of Integrated Information Theory, Measure-theoretic Phi, practical complexity measures, Granger causality
Giulio Tononi is listed with the other integrated information theorists, who hold that consciousness is intrinsic causal power, measured as integrated information. The theory family behind that position is set out in the index of consciousness theories. Every researcher covered on this site is indexed in the directory of consciousness researchers.