IGCSE ICT Theory Practice Test 2025 - Free ICT Theory Practice Questions and Study Guide

The ability to learn from experiences is a fundamental feature of artificial intelligence (AI). This characteristic, often referred to as machine learning, allows AI systems to improve their performance over time as they process more data and encounter various situations. By analyzing patterns and gaining insights from previous experiences, AI can adapt its behavior, optimize its decision-making, and generate more effective solutions to problems.

In contrast, inflexibility in decision-making, dependency on human intervention for all tasks, and limited communication capabilities do not align with the core attributes of AI. Inflexibility suggests a lack of adaptability, which contradicts the learning aspect. Dependency on human intervention would limit the autonomy that is often sought in AI applications, while limited communication capabilities imply that the AI cannot interact effectively, which is not typically a desired trait in advanced AI systems. These aspects highlight limitations rather than strengths, reinforcing why the ability to learn from experiences is essential and positive in the context of artificial intelligence.