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AI is a computer program that has been trained to do tasks normally requiring human intelligence, including:
These programs do this by applying a series of rules they have been given or learned though exposure to large sets of data. If the task is to write a biography of person, the rules might specify listing their birth and death dates and what they are famous for. If the task is to drive a car, the rules would include a large number of traffic rules like "what to do when approaching a four-way stop." AI doesn't "think" the way biological beings do. It applies a set of rules it has developed or been given to a given situation.
For a more comprehensive introduction, see this University of Washington paper (PDF) Language Models: A Guide for the Perplexed.
Depending on the program, It can save time by automating straightforward tasks such as:
It can create new things by;
AI Image Generators: AI programs that generate images, usually based on prompts from users
Algorithms: a set of rules that guide an AI program. They may be provided to the program, or the program may be tasked to discover connections itself.
Chatbot: A program designed to simulate conversation. These are often used to answer frequently asked questions or provide technical assistance.
Chat prompt: The message or the question you submit to the AI. "Please give me a biography of Alicia Keys" is an example of a chat prompt. "Draw a picture of an empty desk with a computer, cup of coffee, and two stacks of papers" is another.
Hallucinations: These are inaccurate or entirely wrong responses from AI. These may be due to incorrect training data or incorrect programming. Hallucinations are why you need to check the accuracy of AI responses before you rely on them. One way to check the accuracy is to ask the AI to explain how it achieved the responses it provided.
Large Language Models (LLM): These AI programs are trained on enormous data sets including the Internet, books, encyclopedias, news stories and more. These programs do not understand context, instead they use the patterns they find in the training data to predict the next word in a series of words, or the adjacent pixels in a picture it is creating.
For a more comprehensive glossary, see 50 AI Terms Every Beginner Should Know.
The request you make to an AI is called a prompt or a chat prompt. These are some recommendations from ChatGPT on how to write a good chat prompt.
How to write a good ChatGPT prompt. (2024.) ChatGPT (Jan 17 2024 version) [Large language model]. https://chat.openai.com/chat
(Library staff note: Does politeness really matter? We don't know, but it seems to be good advice in any circumstance.)
AI tools may plagiarize texts that have been used in their training. If you have cited AI as the text generator in your bibliography, it will be clear that you are not the source of the plagiarism.
Examples of citation formats for your bibliographies:
APA Format: Company that created the AI tool. (Year). AI Name (version) [Descriptor of the tool. Usually "Large language model"]. URL
Example:
OpenAI. (2023). ChatGPT (Mar 14 version) [Large language model]. https://chat.openai.com/chat
In-text citations would look like this: (Company name, year).
Example: (OpenAI, 2023)
This information is from the APA website: "How to Cite ChatGPT"
MLA Format: Title of Source. (This means a brief explanation of the prompt.) Title of AI tool, Version of tool, Company that made the AI tool, Date, URL.
Example:
“Describe the symbolism of the green light in the book The Great Gatsby by F. Scott Fitzgerald” prompt. ChatGPT, 13 Feb. version, OpenAI, 8 Mar. 2023, chat.openai.com/chat.
In text citations would include the first three words of the prompt.
Example:
This would be the in-text cite for the citation above: ("Describe the symbolism")
This information is from the MLA website: “How do I cite generative AI in MLA style?”