Understanding AI – Chapter 1: What Is Artificial Intelligence (Explained Simply)

Описание: What is artificial intelligence? In simple terms, it is the ability of computer systems to imitate aspects of human intelligence to achieve goals.

Artificial intelligence (AI) refers to computer systems capable of imitating human intelligence. In other words, these are systems that can make predictions and inferences, make decisions, learn, or solve problems toward a specific goal. However, this intelligence is not innate like ours — it is programmed through software, algorithms, and large datasets. [1]

AI operates through mathematical calculations and logical rules. A computer cannot think, but it can learn from data — that is the principle behind its development. For example, when a social media platform offers you personalized video recommendations, or a digital assistant answers “What’s the weather today?”, all of this happens thanks to learning-based AI systems.

According to Tom M. Mitchell’s definition, a computer program is said to “learn” from experience if its performance at a given task improves with experience. [2] In this process, AI systems develop themselves through trial and error, much like humans. The computer first attempts a task, evaluates the result, learns from its mistakes, and applies that knowledge to new situations. With each attempt, it learns to make more accurate predictions.

For instance, think of a music app. At first, it suggests random songs. You listen to some and skip others. The app records these preferences and gradually learns what styles of music you enjoy. Then, it uses this information to create personalized playlists for you. As this cycle continues, the system produces results that better match your taste — one of the simplest yet most effective examples of machine learning.

What Artificial Intelligence Is Not?
Artificial intelligence is often perceived as more “humanlike” than it truly is. Yet scientifically, understanding its limitations is the first step to understanding it correctly. Research shows that people — including students — frequently misinterpret what AI actually is. [3]

AI is not:

1. Conscious
It has no emotions, awareness, or intent. It merely analyzes patterns in the data provided to it and makes statistical predictions.
2. Infallible.
When a model is trained on inaccurate or incomplete data, it produces faulty results. Its accuracy is limited by the quality of the data it receives.
3. Neutral.
Models can unconsciously learn the biases embedded in their training data and replicate them in their outputs.
4. A creative being.
It can generate images, text, or music, but it cannot understand the meaning of its creations; creativity still belongs to humans.
5. Independent.
It does not define its own goals; it operates within human-defined purposes and ethical boundaries.
Understanding these distinctions is key to using artificial intelligence safely, fairly, and consciously. [3]

Conclusion
Artificial intelligence is a technology that imitates human intelligence but can never fully reproduce it. What makes it powerful is its ability to learn from vast amounts of data and detect complex patterns — yet meaning, emotion, and intent remain uniquely human. Therefore, AI is not the rival of the human mind but its extension. It learns but does not understand; it calculates but cannot feel. How we use it depends not on how “smart” the technology is, but on how conscious we are in guiding it.

True intelligence is measured not by information processing capacity but by responsibility. Recognizing this difference is the foundation for guiding AI in an ethical, fair, and human-centered way. Because the future will not be shaped by the power of machines, but by how humans choose to use that power.

References
[1] Russell, S. J., & Norvig, P. (2010). Artificial Intelligence: A Modern Approach (3rd ed.). Pearson Education.
[2] Mitchell, T. M. (1997). Machine Learning. New York: McGraw-Hill, p. 2.
[3] Bewersdorff, A., Zhai, X., Roberts, J., & Nerdel, C. (2023). Myths, mis- and preconceptions of artificial intelligence: A review of the literature. Computers & Education: Artificial Intelligence, 3, 100095. Elsevier.