What does artificial intelligence systems encompass?

Artificial intelligence (AI) systems encompass a comprehensive range of components that work together to simulate human intelligence. This includes not just the software algorithms that process data and make decisions, but also the hardware, which provides the necessary infrastructure for these algorithms to run. Additionally, AI systems rely on various data inputs, knowledge databases, and possibly human involvement—such as data scientists who train and refine the models.

The mention of "people" highlights the collaborative nature of AI development, where human expertise is crucial in designing, implementing, and maintaining AI systems. "Procedures" refer to the systematic methods and practices that guide how AI is developed and applied. Together, these elements create a rich ecosystem that enables AI to learn from data and make informed decisions, much like a human would.

This holistic view differentiates AI from more simplistic tools or systems that might involve only parts of this ecosystem. For example, while gaming hardware and software might involve some AI elements, they do not represent the broader capabilities and components that constitute a full AI system. Similarly, simple automation tools do not usually approach the complexity and adaptability of true AI systems that aim to replicate human reasoning and problem-solving. Thus, the choice reflecting the comprehensive nature of AI systems captures the essence of what artificial intelligence