Preliminaries to Artificial Consciousness: A Multidimensional Approach

How can artificial consciousness be systematically explored? This paper by Kathinka Evers and colleagues introduces a multidimensional heuristic model to guide research into consciousness replication.

Preliminaries to Artificial Consciousness: A Multidimensional Heuristic Approach, authored by K. Evers, M. Farisco, R. Chatila, B. D. Earp, and others, offers a composite framework for operationalizing the complex phenomenon of consciousness in artificial systems.

Key Highlights

• Multidimensional Model: Proposes a composite model that breaks down consciousness into operationally distinct dimensions for empirical study.
• Avoiding Binary Thinking: Advocates for moving beyond binary notions (e.g., conscious vs. non-conscious) to address subtleties in artificial consciousness research.
• Case Study on Awareness: Demonstrates the utility of the model by pragmatically analyzing the “awareness” dimension.

Connection to ACM

The Artificial Consciousness Module (ACM) aligns with this research through:

• Comprehensive Frameworks: Leveraging the multidimensional model to integrate consciousness-related phenomena.
• Structured Research: Using the operationalized dimensions to guide testable hypotheses in AI systems.

For a detailed exploration of the multidimensional model and its implications, access the full paper here.