Overview
A thought experiment by John Searle arguing that executing a program cannot give a computer genuine understanding or consciousness.
More in Artificial Intelligence
AI Explainability
Safety & GovernanceThe ability to describe AI decision-making processes in human-understandable terms, enabling trust and regulatory compliance.
Precision
Evaluation & MetricsThe ratio of true positive predictions to all positive predictions, measuring accuracy of positive classifications.
AI Feature Store
Training & InferenceA centralised platform for storing, managing, and serving machine learning features consistently across training and inference.
Knowledge Graph
Infrastructure & OperationsA structured representation of real-world entities and the relationships between them, used by AI for reasoning and inference.
ROC Curve
Evaluation & MetricsA graphical plot illustrating the diagnostic ability of a binary classifier as its discrimination threshold is varied.
Neural Architecture Search
Models & ArchitectureAn automated technique for designing optimal neural network architectures using search algorithms.
Prompt Engineering
Prompting & InteractionThe practice of designing and optimising input prompts to elicit desired outputs from large language models.
Reinforcement Learning from Human Feedback
Training & InferenceA training paradigm where AI models are refined using human preference signals, aligning model outputs with human values and quality expectations through reward modelling.