What is Uncertainty in Artificial Intelligence?

Skill Level:

Uncertainty in AI refers to the unpredictability or lack of full knowledge about a situation or outcome. AI models often encounter uncertainties due to incomplete or noisy data. Techniques such as Bayesian Inference and Probabilistic Graphical Models are used to quantify and manage uncertainty in AI.

Other Definitions

A Large Language Model refers to a type of advanced Artificial Intelligence model designed to exhibit human-like language understanding and generation abilities. LLMs are…
Decision Trees are Machine Learning models that use a branching structure to make decisions or predictions. By determining the most important features and creating…
The Zeroth Law of Robotics is a fictional concept introduced by science fiction author Isaac Asimov. It suggests that a robot’s actions should not…