Artificial intelligence · Grades 9–12
AI, machine learning and useful problem definitions · revision notes
Artificial intelligence is a broad field of methods for tasks involving perception, prediction, planning or language. Machine learning fits patterns from data rather than requiring every rule to be handwritten.
Key ideas and conditions
AI and learning
Artificial intelligence is a broad field of methods for tasks involving perception, prediction, planning or language. Machine learning fits patterns from data rather than requiring every rule to be handwritten.
Task definition
Specify the input, desired output, users and consequences of errors before choosing a model. A clear baseline can reveal whether machine learning is necessary.
Prediction versus decision
A score or prediction does not decide what action is acceptable. Human policy, constraints and domain knowledge still matter.
Limits
Fluent or confident output is not proof of correctness. These lessons teach concepts with small examples, not claims that a model understands everything.
Explain without looking
- Explain why a prediction score and an action policy are different.
- Does fluent AI-generated text guarantee factual correctness?
Further reading and review references
These are reference links, not copied exercises, institutional endorsement or proof of independent review.
AI-assisted preview; independent educational review required. Level labels describe prerequisites, not accreditation or official curriculum alignment.