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Glossary

This glossary defines key terms and concepts used throughout the Metacogna Subculture Management (MSM) System documentation.

A​

Agentic Interactions​

Interactions between humans and AI systems where both parties act as autonomous agents with their own goals, capabilities, and decision-making processes.

Alignment Signals​

Information that helps AI systems understand and align with human values, preferences, and organizational goals.

B​

Bidirectional Cultural Translator​

A system component that facilitates communication between different organizational subcultures by translating concepts, language, and context in both directions.

C​

Collective Intelligence​

The enhanced intelligence that emerges from the collaboration between humans and AI systems, where the whole is greater than the sum of its parts.

Contextual Drift​

The phenomenon where AI systems gradually lose alignment with their intended context or purpose over time due to incomplete or changing alignment signals.

Cultural Cohesion​

The degree to which different organizational subcultures share common values, goals, and understanding.

D​

Dark Mode​

A user interface theme that uses dark colors for backgrounds and light colors for text, designed to reduce eye strain and improve readability in low-light conditions.

E​

Episodic Memory​

A type of memory that stores specific events, experiences, and interactions with their temporal and contextual information.

F​

Feedback Loops​

Circular processes where the output of a system becomes input for future iterations, enabling continuous learning and improvement.

H​

Hallucination​

In AI systems, the generation of information that is not grounded in the training data or input context, often appearing plausible but being factually incorrect.

Hierarchical Memory Graph​

A structured memory system that organizes information across multiple levels of abstraction, from specific episodes to general patterns and meta-cognitive insights.

I​

Intelligence Augmentation​

The enhancement of human intelligence through AI systems, as opposed to artificial intelligence that replaces human capabilities.

M​

Meta-analytical Feedback​

Self-evaluating feedback mechanisms that analyze the quality and effectiveness of the feedback process itself.

Meta-cognitive Awareness​

The ability of a system to monitor and reflect on its own cognitive processes, including decision-making, learning, and reasoning.

Metacogna​

The organization and research foundation behind the MSM System, focused on advancing human-AI collaboration through cultural understanding.

O​

Organizational Subcultures​

Distinct groups within an organization that share common values, norms, communication styles, and ways of working, such as engineering, product, marketing, or administrative teams.

P​

Procedural Memory​

A type of memory that stores knowledge about how to perform tasks, procedures, and processes.

S​

Semantic Memory​

A type of memory that stores general knowledge, concepts, and facts without specific temporal or contextual information.

Semi-autonomous Iteration​

The ability of AI systems to improve and adapt their behavior over time with minimal human intervention, while maintaining human oversight and control.

Symmetrical Intelligence Augmentation (SIA)​

A framework for human-AI collaboration that emphasizes reciprocity, where humans calibrate AI's cognitive and ethical priors while AI highlights uncertainty, stimulates creativity, and reinforces collective intelligence.

T​

Trust Mechanisms​

System features and processes designed to build, maintain, and measure trust between humans and AI systems.

U​

Uncertainty Quantification​

The process of explicitly representing and communicating the confidence levels and limitations of AI system outputs.

V​

Value-based Weighting​

The process of assigning importance or priority to different tasks, decisions, or outcomes based on organizational values and goals.

W​

Working Memory​

A type of memory that temporarily holds and manipulates information during cognitive tasks, similar to human working memory.

Human-AI Collaboration​

The partnership between humans and AI systems where both parties contribute their unique strengths to achieve common goals.

Organizational Learning​

The process by which organizations acquire, create, and transfer knowledge to improve their performance and adapt to changing environments.

Cultural Intelligence​

The ability to understand, appreciate, and work effectively across different cultural contexts and subcultures.

Trust in AI​

The confidence that users have in AI systems' reliability, fairness, transparency, and alignment with human values.

This glossary is continuously updated as new concepts and terminology are developed in the field of human-AI collaboration and organizational subculture management.