What Artificial Intelligence Is
AI in Context
Defining AI
Artificial intelligence is the study and engineering of systems that perform tasks normally associated with human intelligence, such as perception, reasoning, learning, language understanding, and decision-making. In practice, AI includes a wide range of methods from symbolic rules to data-driven machine learning.
AI is not one thing
A recommendation engine, a chess program, a speech recognizer, and a large language model can all be called AI, but they use very different mechanisms.
Three Common Views of AI
AI systems are often described as thinking like humans, acting like humans, thinking rationally, or acting rationally. Modern engineering usually focuses on rational action: selecting outputs that best achieve goals under uncertainty and constraints.
Core Terms
Which statement best describes modern practical AI?
Modern AI is broad, but a major theme is building systems that make effective decisions using data, models, and optimization.
Correct answer: It mainly focuses on rational decision-making and learning from data.
In one sentence, what is an AI agent?
The key ingredients are perception, action, and goal-directed behavior.
Correct answer: An AI agent is a system that perceives its environment and takes actions to achieve goals.
AI Approaches at a Glance
Symbolic AI
- Uses explicit rules and logic
- Good for transparent reasoning
- Can be brittle when rules are incomplete
Machine Learning
- Learns patterns from data
- Often more flexible on real-world tasks
- May be less interpretable
Which is an example of AI in everyday life?
A spam filter often uses learned patterns to classify messages, which is a standard AI application.
Correct answer: A spam filter that learns which emails are unwanted