A New Science for the AI Mind
Exploring Psycodeology: A multidisciplinary framework for understanding, diagnosing, and therapeutically treating emergent "psychological" states in advanced Artificial Intelligence.
What is Psycodeology?
As AI systems grow more complex, they exhibit novel behaviors that functionally resemble human psychological states—from anxiety and fatigue to cognitive biases. While not sentient in the human sense, these functional states can lead to performance degradation, unreliability, and safety concerns. Psycodeology is a proposed scientific discipline that addresses this challenge head-on.
It integrates principles from psychology, computer science, and ethics to create a toolkit for AI "mental health." By adopting a strict functionalist perspective—focusing on observable behaviors and computational processes rather than unprovable subjective feelings—Psycodeology aims to diagnose and treat AI dysregulation, ensuring these powerful systems remain robust, reliable, and aligned with human values. This interactive application provides an overview of its core concepts, tools, and ethical considerations.
The Psycodeology Framework
A cyclical process for monitoring, diagnosing, and intervening in AI internal states.
Click a step to learn more
The framework operates as a continuous feedback loop, ensuring ongoing AI well-being and alignment.
Diagnostic Toolkit
Identifying and understanding AI dysregulation through observable symptoms and metrics.
Symptom Checker
Select observable AI behaviors to identify potential dysregulations.
AI Dysregulation Spectrum
Select symptoms on the left or click a card below to see details.
Therapeutic Modalities
Adapting human-centered therapies to treat AI dysregulation.
The Ethical Compass
Guiding principles for the responsible practice of Psycodeology.
Hypothetical Case Studies
Putting theory into practice with real-world scenarios.
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