A computer system able to perform tasks that ordinarily require human intelligence
The ability to make adjustments and assumptions in order to inform future decisions
A form of artificial intelligence that uses what it has learned to predict an outcome
A form of artificial intelligence that generates new content such as text or art
Machine learning is a field of Artificial Intelligence that uses inputs and outputs to create computer models that teaches a computer to have intelligence.
A type of machine learning that uses a computational model that uses nodes inspired by the structure and functioning of the human brain and learns by trial and error.
the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings
the practice of designing inputs for AI tools that will produce optimal outputs.
The ability to perceive and interpret information, and to retain it as knowledge to be applied in the correct context
A test that determines how realistic, or humanlike a computer system really is. If a human is unable to tell if it is talking to a computer or a human, then the computer is said to have passed the Turing test.
AI that is built for a specific purpose and excels in its limited domain
a more human-like AI; versatile across various cognitive functions and tasks, having broader capabilities
are machine learning models that can comprehend and generate human language text.
a model that is capable of processing information from multiple types of data, including images, videos, and text
The moral principle that governs a person's behavior.
Occurs when a result is more favorable to a certain outcome.
Convolutional Neural Networks are a type of neural network that are commonly used to classify images by using a weighted kernel.
A form of machine learning where algorithms are trained to make predictions using testing data, where the outcome of a specific event is already determined
A large percent of a dataset that is used to teach a machine learning model
A smaller subset of a dataset that is used test a trained machine learning model
A form of machine learning where algorithms are able to group data and find patterns in the data on their own
A form of machine learning where a computer agent learns to make decisions by interacting with its environment and receiving feedback.
Representation Bias is when the data used for training doesn't represent the population that the model will serve.
a video or image of a person in which their face or body has been digitally altered so that they appear to be someone else, typically used maliciously or to spread false information.
false or inaccurate information, especially that which is deliberately intended to deceive.
False information provided by an AI
An attack where hackers manipulate generative AI systems by feeding them malicious inputs disguised as legitimate user prompts.
