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What is Bias in Artificial Intelligence?

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Bias in AI refers to systematic errors or prejudices that can occur within AI systems due to biased training data, faulty algorithms, or human biases. Addressing bias in AI is crucial for ensuring fairness, inclusiveness, and ethical practices in AI applications.

Other Definitions

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…

Knowledge-Based Systems

Knowledge-Based Systems are AI systems that utilise domain-specific knowledge and rules to make informed decisions or provide expert advice. These systems incorporate human expertise…

Federated Learning

Federated Learning is a privacy-preserving technique where AI models are trained across multiple decentralised devices or systems without sharing raw data. Instead, only aggregated…

Natural Language Generation (NLG)

Natural Language Generation is an AI technique that converts structured data into human-like text. NLG systems use Machine Learning algorithms to understand the data…
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