1 Introduction to Artificial Intelligence Free Online FlashCards

What is artificial intelligence?

Artificial intelligence is a broad field focused on computer systems that perform tasks such as recognizing patterns, making predictions, reasoning, planning, or acting toward a goal.

What is data in an AI system?

Data are examples or observations used by a system, such as labeled photos, written text, or sensor readings.

What is an algorithm?

An algorithm is a procedure for processing information or solving a problem.

What role does a model play in an AI system?

A model is a learned or constructed representation that a system uses to produce an output, such as a prediction or classification.

How do training and inference differ?

Training uses data to build or adjust a model; inference uses the resulting model on new input.

What do search and planning do in AI?

Search and planning explore possible states or actions to find a route to a goal, such as a path that meets a travel-time criterion.

What does classification do?

Classification assigns an input to a category, such as labeling an email as spam or not spam.

What distinguishes machine learning from rule-only approaches?

Machine learning is a subset of AI in which a system learns patterns from data rather than relying only on hand-written rules.

How does a rule-based system work?

A rule-based system applies facts and explicit rules supplied by people; it may struggle with situations those rules do not cover.

What characterizes a learning-based system?

Learning-based systems use patterns learned from examples. Their outputs depend on factors such as training data and model design.

What is narrow AI?

Narrow AI is designed for a specific task or limited set of tasks, such as recommending music or recognizing objects in images.

Why should AI outputs not be assumed to be reliable or fair?

AI outputs can be incorrect, unfair, or difficult to understand, and systems may reflect limitations or biases in their data.