OECUMENE
Governance Architecture для Complex Business Systems
AI Literacy
Developing the Ability to Understand and Work with Artificial Intelligence
In the OECUMENE model, AI Literacy is a discipline at the level:
WHAT? · What?
WHAT asks:
What emerges as a result of realizing WHY through the architecture, methods, and practices of HOW?
AI Literacy is the result of developing the system’s ability to understand artificial intelligence, work with it effectively, and recognize its implications for people, organizations, and management systems.
The Place of AI Literacy in the OECUMENE Model
The central logic is:
WHY → HOW → WHAT
This is a causal relationship:
WHY
Why does this matter?
Why does the system exist?
Why has this path been chosen?
↓
HOW
How is this realized?
Architecture
Methods
Practices
Frameworks
Processes
Tools
Technologies
↓
WHAT
What emerges as a result of realizing WHY through the architecture, methods, and practices of HOW?
Disciplines
Capabilities
Practices
WHY AI Literacy
The development of artificial intelligence changes how people work, make decisions, create knowledge, and interact with technologies.
This creates new questions:
- what AI is capable of;
- what AI is not capable of;
- how AI systems should be used;
- how to evaluate AI-generated information;
- how AI changes work and decision making.
AI Literacy asks:
Why does a system need the ability to understand and work effectively with artificial intelligence?
HOW AI Literacy
AI Literacy is developed through practices that enable people and organizations to understand, use, evaluate, and reflect on artificial intelligence.
This includes:
- understanding AI concepts and capabilities;
- working effectively with AI systems;
- evaluating AI outputs;
- understanding limitations and risks;
- developing appropriate ways of working with AI;
- continuously adapting knowledge and practices.
AI Literacy as a Discipline
AI Literacy is a field of knowledge and practice that helps a system develop capabilities for:
- understanding artificial intelligence;
- interacting effectively with AI systems;
- evaluating AI-generated information and outputs;
- recognizing limitations, risks, and implications;
- applying AI appropriately in different contexts;
- developing responsible and effective AI practices.
Core Elements of AI Literacy
Understanding
Develops an understanding of:
- artificial intelligence concepts;
- AI capabilities;
- AI limitations;
- different types of AI systems;
- the role of AI in organizational environments.
Interaction
Enables people to:
- formulate effective requests;
- communicate with AI systems;
- provide appropriate context;
- structure tasks for AI;
- work iteratively with AI.
Evaluation
Enables the assessment of:
- AI-generated information;
- quality of outputs;
- reliability and limitations;
- assumptions and potential errors;
- relevance to the specific context.
Application
Defines:
- where AI can create value;
- where AI should be used;
- how AI can be integrated into work;
- how human and AI capabilities can complement each other.
Awareness
Develops awareness of:
- risks;
- limitations;
- ethical implications;
- security and privacy considerations;
- consequences of AI-enabled decisions.
Adaptation
Enables people and organizations to:
- continuously update their understanding of AI;
- adapt working practices;
- learn from experience;
- respond to changes in AI capabilities and technologies.
AI Literacy and AI Navigation
AI Literacy and AI Navigation address different capabilities.
The relationship is:
AI Literacy
↓
understanding and working effectively with AI
↓
AI Navigation
↓
finding direction in an environment changed by AI.
AI Literacy provides the foundation for effective interaction with AI.
AI Navigation extends this capability toward orientation, exploration, sensemaking, and direction.
AI Literacy and AI Management
AI Literacy is connected with AI Management.
The relationship is:
AI Literacy
↓
people’s and organizations’ ability to understand and work with AI
↓
AI Management
↓
managing AI as part of organizational operations and management systems.
AI Literacy is therefore one of the capabilities required for effective AI Management.
AI Literacy as an Intellectual Asset
In OECUMENE, AI Literacy is an evolving intellectual asset.
It may include:
- AI literacy models;
- learning frameworks;
- assessment methods;
- training practices;
- organizational capabilities;
- relationships with other disciplines.
Recursiveness
Like every element of OECUMENE, AI Literacy can be considered through:
WHY → HOW → WHAT
For example:
WHY:
Why is AI literacy necessary?
↓
HOW:
How can understanding, interaction, evaluation, application, and adaptation be developed?
↓
WHAT:
What AI Literacy capabilities emerge?
Working Position of OECUMENE
AI Literacy is not simply knowledge about artificial intelligence.
It is the capability of people and organizations to understand AI, work with it effectively, evaluate its outputs and limitations, and adapt their practices as AI becomes part of the environment in which they operate.
The central question is:
What does a person or organization need to understand and be able to do to work effectively with AI?
Connections with Other OECUMENE Disciplines
AI Literacy is connected with:
