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Epistemology of Artificial Intelligence - Coggle Diagram
Epistemology of Artificial Intelligence
Logical Positivism and Empiricism
Knowledge
justified true belief
Verification through observation
Publicly expressible language
Formal representation
Rule-based reasoning
Data-driven learning
Validation through hypothesis testing
Constructivism and Social Constructivism
Knowledge constructed by agent
Interaction with environment
Subjective interpretation
Context-dependent meaning
Socially embedded data
Bias reflection
Epistemological Challenges
Explainability and Validation
Data bias
Social inequalities
Subjective fairness
Ethical risk
Bias and Fairness
Opaque algorithms
Non-deterministic systems
Continuous validation needed
Trust and transparency
Knowledge Creation
AI creates knowledge through
Data processing
Pattern recognition
Machine learning algorithms
Knowledge is stored in
Symbolic structures
Mathematical models
Formal systems