How to Cite AI in MLA: A Guide for Researchers
Artificial intelligence (AI) has become a widely used technology in various academic fields, from computer science to social sciences and humanities. As researchers incorporate AI-generated data and analysis into their work, it’s essential to adhere to the Modern Language Association (MLA) style for proper citation. Citing AI sources not only gives credit to the original creators but also helps readers locate and evaluate the information. This guide provides step-by-step instructions for citing AI in MLA format to support scholarly integrity and rigor in research.
Citing AI-generated Data and Analysis
When referencing AI-generated data or analysis, it’s crucial to identify the responsible entity or author. Since AI processes are often carried out by algorithms or models developed by individuals or organizations, it’s essential to attribute the data or analysis to the appropriate source.
The MLA format for citing AI-generated data and analysis should include the following elements:
Author(s) or responsible entity
Title of the AI model, software, or algorithm
Publisher (if relevant)
URL or DOI (if available)
Date of access (for online sources)
In-text Citation
In the body of your paper, use an in-text citation that includes the author’s name or responsible entity and the page number (if available) or other identifying information. If the author’s name is not available, use a shortened form of the title.
Example:
According to the findings generated by the GPT-3 language model (OpenAI), the potential impact of AI on language processing is significant (Smith).
This in-text citation format provides a clear indication of the source of the AI-generated data or analysis, allowing readers to track down the original information easily.
Works Cited Entry
In the Works Cited section, provide a complete reference for the AI source. The format for citing AI-generated data and analysis in the Works Cited section is similar to that of other electronic sources, with additional details about the model, software, or algorithm used.
Example:
Author(s) or responsible entity. “Title of AI Model, Software, or Algorithm.” Title of Website or Platform, Publisher, Date of publication, URL. Access date.
OpenAI. “GPT-3: Language Modeling for AI Research.” OpenAI, 2020, www.openai.com/gpt-3. Accessed 15 May 2022.
In this example, the citation includes the responsible entity (OpenAI), the title of the AI model (GPT-3), the publisher (OpenAI), the date of publication, and the URL. If an access date is relevant (e.g., for online sources), it should be included at the end of the citation.
When the author’s name is not available, start the citation with the title of the AI model, software, or algorithm and alphabetize it in the Works Cited list accordingly.
Ethical Considerations for AI Citation
While citing AI-generated data and analysis, researchers should also consider the ethical implications of using AI technology. Closely examine the transparency, bias, and accountability of the AI source to ensure the integrity of the research. Additionally, be mindful of any copyright or licensing requirements associated with the AI model, software, or algorithm used in your research.
In summary, citing AI in MLA involves acknowledging the authorship or responsible entity, providing a clear source reference, and adhering to ethical considerations. By following the guidelines outlined in this article, researchers can appropriately attribute AI-generated data and analysis in their academic work, contributing to a culture of academic integrity and transparency.
