What is Explainable Artificial Intelligence?

Skill Level:

Explainable Artificial Intelligence focuses on developing AI systems that can provide understandable explanations for their decisions and behaviours. Transparent and interpretable AI models are essential for building trust, ensuring fairness, and addressing ethical concerns. Businesses can benefit from explainable AI by gaining insights into AI-driven predictions and making informed decisions based on those insights.

Other Definitions

Deep Reinforcement Learning is a subset of Machine Learning that combines Deep Learning and Reinforcement Learning. It involves training AI models to make decisions…
Deep Learning, a subfield of AI, leverages neural networks with numerous interconnected layers to process vast amounts of data, enabling machines to learn and…
Computer vision is a field of AI that focuses on training machines to understand and interpret images and videos. By analysing visual data, machines…
Clustering in AI refers to the process of grouping similar data points together based on their inherent characteristics or attributes. By identifying patterns or…