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What is Uncertainty in Artificial Intelligence?

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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

Instance-Based Learning

Instance-Based Learning is an AI approach where models make predictions based on similarity to previously seen examples. Instead of generalising from a predefined set…

Human-in-the-Loop

Human-in-the-loop refers to a collaborative approach where humans and AI systems work together to achieve optimal results. It involves combining human expertise, judgement, and…

Forecasting

Forecasting involves predicting future outcomes or trends based on historical data and patterns. By analysing past data and applying statistical techniques, businesses can make…

Multi-Agent Systems

Multi-Agent Systems are AI systems where multiple autonomous agents interact and collaborate to accomplish a goal. These agents can be software programs, robots, or…
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