Automated Cognitive Space Correction for Authoritarian Distortion Detection
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Solution Overview
Problem
Current methods for detecting and addressing authoritarianism and racism are slow, ineffective, and often rely on Darwinistic processes that lead to sporadic and inefficient corrections, failing to prevent the emergence and dominance of authoritarian thinking and behaviors.
Innovation Solution
A computer-implemented system that constructs a massive summary tree of causal knowledge to optimize creativity by enforcing constraints on links between nodes, allowing for real-time detection and correction of distortions in cognitive spaces, and promoting open-mindedness through automated moderation and economic incentives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If external solutions such as skepticism, investigation, competition, and legislation are used to detect and correct authoritarian distortions, then some level of correction is achieved, but the detection and correction speed is too slow to prevent the emergence and dominance of authoritarian thinking
Solution Approach 1:
The system performs preliminary action by continuously monitoring cognitive spaces and detecting precursor distortions before authoritarian thinking fully emerges. The automated system proactively identifies subtle relativistic shifts in symbol links and corrects them in real-time, preventing the need for slower post-hoc corrections by courts, legislation, or social competition.
Solution Approach 2:
The patent replaces mechanical systems (human investigation, court proceedings, legislative processes, social competition) with an automated computational system that uses algorithms to detect and correct authoritarian distortions. This substitution enables real-time operation at machine speed, dramatically reducing detection and correction time compared to human-driven processes.
2Productivity
If Darwinistic processes such as natural selection and economic competition are used to address authoritarianism, then sporadic corrections occur, but these processes are inefficient and lead to deadly competition rather than continuous optimization
Solution Approach 1:
The system implements continuous feedback by automatically monitoring cognitive spaces, detecting authoritarian distortions as they emerge, and applying corrections in real-time. This closed-loop feedback mechanism replaces inefficient Darwinistic trial-and-error processes with systematic, continuous optimization that prevents harmful outcomes rather than reacting to them after they occur.
Solution Approach 2:
The automated system performs self-service by independently detecting and correcting authoritarian distortions without requiring external human intervention, court proceedings, or competitive processes. The system autonomously maintains cognitive health through continuous monitoring and correction, eliminating the need for inefficient external remedies.
3Object-generated harmful factors
If social media platforms support echo chambers and unproven assumptions, then authoritarian and racist thinking is amplified, but the platforms profit from this engagement
Solution Approach 1:
The system acts as an intermediary between social media content and users by automatically analyzing symbol links and causal relationships in posted content. It detects authoritarian distortions and applies corrections before content is amplified by echo chambers, serving as a gatekeeper that prevents harmful content from gaining traction while allowing legitimate engagement to continue.
Solution Approach 2:
The system applies preliminary anti-action by preemptively correcting authoritarian distortions in content before they can be amplified by social media echo chambers. By detecting and correcting these distortions in real-time as content is posted and shared, the system prevents the harmful amplification effect rather than reacting to it after it occurs.
Data Source
AI summary
A self-correction economic resource allocation system, based on measurements of open-mindedness and creativity in narrative content, wherein an automatically generated empirical polysemous dictionary stores cause and effect meanings for parsing narrative content. Narrative content is automatically analyzed for metrics of rootedness, clarity, open-mindedness and creativity, and top performing content creators are chosen to validate cryptocurrency transactions, and to vote on system governance proposals, and to participate in appeal level smart contract arbitration narrative conversations.