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

OpenAI is a research organisation dedicated to advancing AI in a safe and beneficial way. They develop cutting-edge AI technology while prioritising ethical considerations…
Bayesian networks are Probabilistic Graphical Models that represent and evaluate uncertainty and conditional dependencies between variables. Industries such as healthcare and finance use Bayesian…
ChatOps combines chat platforms and AI technologies to facilitate collaboration and automate tasks within teams. By integrating AI-powered chatbots and communication tools, businesses can…
Recommender Systems are AI systems that provide personalised recommendations to users based on their preferences and previous behaviour. These systems analyse large amounts of…