Model
A system produced by a learning process that can make predictions, classifications, or generate output.
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Artificial Intelligence
Learn what artificial intelligence means, how common AI systems work at a high level, and how to approach their output responsibly.
Overview
What is artificial intelligence?
Artificial intelligence is a broad field concerned with building computer systems that can perform tasks associated with human intelligence, such as recognizing patterns, interpreting language, making predictions, and generating content.
Many modern AI systems use machine learning: they learn patterns from examples instead of relying only on rules written for every possible situation.
Training
The process of adjusting a model using data so it becomes better at a defined task.
Inference
Using a trained model to produce an answer, prediction, classification, or other result.
Dataset
A collection of examples used to train, evaluate, or test an AI system.
Common areas of AI
AI is an umbrella term covering different techniques and types of problems.
Predictive machine learning
Uses patterns in data to estimate outcomes, classify information, or recommend actions.
Generative AI
Produces new text, images, audio, code, or other content in response to instructions or examples.
Language and vision
Works with human language or visual information to recognize, interpret, and transform content.
Responsible use
Use AI output thoughtfully
- Verify important output rather than assuming it is correct.
- Consider privacy before submitting personal, confidential, or sensitive information.
- Look for bias, missing context, and unequal effects on different people.
- Keep appropriate human oversight when decisions have meaningful consequences.
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