4.10 - CompTIA A+ Core 2

Artificial intelligence (AI)

Technology designed to meet or exceed human intelligence.

Generative AI (GenAI)

A subset of artificial intelligence that uses generative models to produce text, video, images, or other data forms.

AI application integration

The process of combining AI capabilities with existing software systems to enhance functionality.

Appropriate AI use

Ethical/useful ways to use artificial intelligence, including processing large data sets and healthcare diagnostics.

Inappropriate AI use

Unethical/illegal ways to use AI, such as fraud, deepfake creation, and invasion of privacy.

AI bias

The tendency of AI systems to produce unfair or prejudiced outcomes, often due to biased training data.

AI hallucinations

AI misinterpreting data or generating false information that is not grounded in reality.

AI accuracy

The degree to which AI systems correctly interpret data and produce reliable outputs.

Public AI

Openly available generative AI systems, such as ChatGPT and Google Gemini.

Private AI

A single organization entirely controls internal AI engines or generative AI systems.

Data security (AI)

Refers to information in the AI engine being retrieved by others, such as passwords and encryption keys.

Data source (AI)

Indicates how accessible AI training data is; private data can only be accessed by a single entity.

Data privacy (AI)

Refers to the quantity of data AI collects about an organization or entity.