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- Generative AI: Artificial intelligence systems that generate new content, from text to images, based on learned data.
- Model and LLM (Large Language Models): An AI system designed to understand, predict, and generate human-like text based on the data it has been trained on.
- Prompt: The input given to an AI model to generate a specific output.
- Context window: The amount of text or data an AI model can consider at one time when generating its output.
- Deepfakes: Techniques for creating highly convincing fake images, audio, and video, often used to generate realistic but false representations of people in media.
- Hallucination: When an AI model generates incorrect or nonsensical information that is not supported by its training data.
- Bias: The tendency of AI-generated outputs to reflect and perpetuate the underlying prejudices present in the training data.
- Indeterminacy: The inherent unpredictability in the output of generative AI models due to their complex nature
- Intellectual property and copyright: The awareness that AI-generated outputs may be based on copyrighted materials, which may incur risks and ethical considerations depending on how they are used
- Chatbot: A computer program designed to simulate conversation with human users, especially over the Internet.
- Conversational user interface: A way of interacting with computers which simulates human conversation. This may be through a visual interface or verbal interaction, and can be through a dedicated interface or embedded within a wider system such as email or word processing software.
Shared from HE Generative AI Literacy Definition by Sue Attewell
For more information see A Generative AI Primer by Michael Webb
