What is Explainable Artificial Intelligence?

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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

Cybersecurity in Artificial Intelligence addresses the protection of AI systems from security threats and vulnerabilities. It involves implementing strategies and technologies to safeguard AI…
Deep Learning, a subfield of AI, leverages neural networks with numerous interconnected layers to process vast amounts of data, enabling machines to learn and…
Natural Language Processing involves the interaction between computers and human language, enabling machines to understand, interpret, and generate human language. It powers applications like…
Object Recognition is the capability of AI systems to identify and classify objects within images or videos. By utilising advanced algorithms and Neural Networks,…