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16 terms shown

AI assistant: A tool that responds to a person’s request. A person remains responsible for checking and using the answer.
AI agent: Software set up to complete several steps towards a goal, sometimes using other tools. It needs limits, testing and human oversight.
Automation: A repeatable process that follows set steps. It may not need AI at all.
Bias: An unfair pattern in data, design or results that may disadvantage people.
Chatbot: A tool you can ask questions in a conversation. Its confident wording is not proof that it is right.
Context: The relevant background a tool needs to understand your request. Share only information you are allowed to use.
Deepfake: Audio, video or an image made or altered to resemble a real person or event.
Governance: The people, rules and checks that make clear how an organisation chooses and uses AI.
Hallucination: An AI answer that presents invented or unsupported information as though it were true.
Human review: A person checks whether an output is accurate, appropriate and safe before it is used.
Large language model: A system trained to work with patterns in language. It can produce useful text but does not guarantee facts.
Model: The system behind an AI tool. Different models have different abilities, costs and limits.
Prompt: The instruction or question you give an AI tool. A clear prompt helps, but the answer still needs checking.
Retrieval: Finding relevant information, such as an approved document, to help produce an answer.
Token: A small piece of text counted by many AI providers for usage and billing. It is not the same as a word.
Workflow: The sequence of steps people and tools follow to complete a job.