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The Framework's Potential Use in AI,
Deeper Implications for Consciousness
This framework explains the origin of conscious experience in humans through a novel internal looping mechanism, which may have powerful implications for artificial intelligence.
The central mechanism involves the brain sensing its own incipient output (such as early stages of internal speech) before that output is expressed. This looping creates internal activations as if something had been said or done – even though nothing has yet occurred externally.
Crucially, this is not a standard feedback loop as described in classical cybernetics, which involves interaction with and adjustment based on the environment. Rather, it’s an endogenic loop – entirely internal, without passing through the environment. This structure may underpin subjective experience.
To implement a similar process in AI, a system would need:
A core cybernetic architecture interacting with an environment, seeking goal states through feedback and adaptation;
An expressive subsystem formulating candidate outputs – whether linguistic, motoric, or otherwise;
A mechanism allowing the system to internally detect and respond to its incipient output before it is finalized or expressed – activating internal models as if the output had already occurred.
In short, it’s a loop operating entirely within the system – an internal reflection of outgoing signals before they manifest. This mechanism represents a new kind of internal architecture, potentially foundational for intelligent systems, comparable to how feedback loops transformed control theory or Boolean logic underpinned digital computing.
You can download a copy of this AI safety fact sheet in Microsoft word format.
Or for more information on the framework see the page Brief Synopsis of the Framework.
For an in-depth study of the framework, see the Seven Dialogs, starting at Dialogue One.
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