Overview
A statistical approach to AI that uses Bayes' theorem to update probability estimates as new evidence becomes available.
More in Artificial Intelligence
AI Inference
Training & InferenceThe process of using a trained AI model to make predictions or decisions on new, unseen data.
Artificial Superintelligence
Foundations & TheoryA theoretical level of AI that surpasses human cognitive abilities across all domains, including creativity and social intelligence.
AI Transparency
Safety & GovernanceThe practice of making AI systems' operations, data usage, and decision processes openly visible to stakeholders.
AI Explainability
Safety & GovernanceThe ability to describe AI decision-making processes in human-understandable terms, enabling trust and regulatory compliance.
Weak AI
Foundations & TheoryAI designed to handle specific tasks without possessing self-awareness, consciousness, or true understanding of the task domain.
AUC Score
Evaluation & MetricsArea Under the ROC Curve, a single metric summarising a classifier's ability to distinguish between classes.
AI Fairness
Safety & GovernanceThe principle of ensuring AI systems make equitable decisions without discriminating against any group based on protected attributes.
BLEU Score
Evaluation & MetricsA metric for evaluating the quality of machine-generated text by comparing it to reference translations or texts.