Artificial intelligence (AI) is the branch of computer science concerned with building systems that perform tasks that usually require human intelligence, such as recognizing images, understanding language, making predictions, or planning actions. It is an umbrella term that covers rule-based programs, machine learning, and modern generative models.
Why it matters
AI now sits inside search engines, spam filters, recommendation feeds, fraud detection, and customer support. For website owners it affects how traffic arrives (AI-generated answers, automated crawlers) and how operations run (anomaly detection, log analysis). Understanding the terminology helps you judge vendor claims.
Example
A spam filter that flags an email because it contains a blocklisted phrase is a simple rule-based system. A filter that learns from millions of labeled messages which patterns signal spam is machine learning. Both are called AI, but they work very differently.
Common misconceptions
- AI means a conscious or general-purpose mind. Almost all deployed AI is narrow and built for specific tasks.
- AI and machine learning are identical. Machine learning is one approach within AI.
- AI output is always objective. It reflects its training data and design choices.
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