AI literacy is “the ability to understand, use, monitor, and critically reflect on AI applications without necessarily being able to develop AI models themselves.” Laupichler, et. al (2023). It is the effort to develop
Artificial Intelligence (AI) is computer technology that is capable of performing complex tasks that are typically associated with human thinking such as reasoning and independent problem-solving. AI tools such as Google Gemini have been developed to use this technology through the interfaces of programs and software that create outputs like text responses to specific questions or images and video based upon text prompts from the user.
Advantages to AI include automating time-consuming tasks and performing rapid data manipulation, but results can be difficult to reproduce consistently or validate, and there are ethical concerns.
Some popular AI Tools that have been used in the creation of academic projects include:
The following definitions come from Merriam Webster Online:
Machine Learning: a computational method that is a subfield of artificial intelligence and that enables a computer to learn to perform tasks by analyzing a large dataset without being explicitly programmed.
Deep Learning: a form of machine learning in which the computer network rapidly teaches itself to understand a concept without human intervention by performing a large number of iterative calculations on an extremely large dataset
Large Language Models: a language model that utilizes deep (see deep entry 1 sense 8) methods on an extremely large data set as a basis for predicting and constructing natural-sounding text.
