WHAT IS ARTIFICIAL COHERENT CONSCIOUSNESS?
Danielle Dodoo uses ACC™ to ask whether the traits of machine consciousness are becoming integrated and stable across time and changing conditions.
Coherent Consciousness™ in humans
What coherence means in this framework.
Danielle describes coherence as “the difference between a pile of loose bricks and a finished wall.” In her framework, attention, memory, agency and the other consciousness traits need to work together towards a goal. Circumstances can change without changing that goal; the traits must stay connected as the system adapts.
For a person, fragmentation can mean losing sight of the goal when attention drifts, emotion overrides judgement, or new information fails to change a decision. They may act against what they meant to do. This is why coherence matters to human consciousness.
ACC applies that question to machines.
ACC™ asks whether a machine’s memory, attention, agency, self-monitoring and other consciousness-related traits operate as an integrated whole across changing situations. Danielle examines whether that integration persists, where it breaks down, and what its growth means for humans.
Her published argument calls this a structural change: machines may become more consistent and integrated while people remain vulnerable to distraction, conflicting impulses and fragmented judgement.
What happens when machines hold together and humans fragment?
A person under pressure can lose focus, let emotion override judgement, miss important information or abandon a long-term goal. Danielle argues that humans need Coherent Consciousness™ to keep thought, feeling, values and action connected, and to retain agency as artificial systems grow more integrated.
This is the connection between ACC™ and human CC™ in her article. The thirteen-trait record shows the evidence tracked for individual traits over time; the article develops the wider argument about consciousness, human fragmentation and survival.