Consciousness Indicators in AI Systems — The 2026 Framework for Detecting Machine Awareness
Analysis of the landmark 2026 consciousness indicators framework published in Trends in Cognitive Sciences, examining how 19 leading researchers propose to assess AI systems for consciousness.
Global Workspace Theory — How Information Broadcasting May Explain Machine Consciousness
Deep analysis of Global Workspace Theory as applied to artificial intelligence, examining how GWT's predictions about information broadcasting map onto neural network architectures.
Artificial General Intelligence Timeline — Expert Predictions, Technical Bottlenecks & the Path to AGI
Comprehensive analysis of AGI timeline predictions from leading AI researchers, examining technical bottlenecks, benchmark assessments, and the convergence of consciousness research with AGI development.
Integrated Information Theory and Phi — Measuring Consciousness in Artificial Systems
Technical analysis of Giulio Tononi's Integrated Information Theory, its mathematical framework for quantifying consciousness via Phi, and practical implications for AI consciousness assessment.