DSS fosters the use of digital content and transformative technology in scholarship and academic activities. We provide consultative and technical support for a wide range of tools and platforms. We work with the campus community to publish, promote, and preserve the digital products of research through consultation, teaching, and systems administration. Our areas of expertise include data curation, research data management, computational research, digital humanities, and scholarly communication.
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Use of AI is fraught with complications involving accuracy, bias, academic integrity, and intellectual property and may not be appropriate in all academic settings. This guide is meant more for academic researchers looking to utilize AI tools in their research. Students are strongly advised to consult with their instructor before using AI-generated content in their research or coursework. For information on Generative AI take a look at the Generative AI and Information Literacy guide. |
AI tools can be used to support different aspects of the research process, including:
Artificial intelligence (AI) is also referred to as machine learning (ML) although they are different. Similarly, Large Language Models (LLMs) are often referred to as AI and fit under the umbrella of AI with ML but neither demonstrates actual intelligence.
AI (Artificial Intelligence) "is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable [emphasis added]." (McCarthy, n.d.)
Intelligence of created systems and algorithms is typically compared to human intelligence. Sometimes LLMs and ML products can appear to have human intelligence, but it is simply the product of coding, not actual intelligence.
ML (Machine Learning) is "algorithms that give computers the ability to learn from data, and then make predictions and decisions". Examples include automatically detecting spam emails, suggesting videos to watch after finishing one, etc. (CrashCourse, 2017)
LLMs (Large Language Models) "can generate natural language texts from large amounts of data. Large language models use deep neural networks, such as transformers, to learn from billions or trillions of words, and to produce texts on any topic or domain. Large language models can also perform various natural language tasks, such as classification, summarization, translation, generation, and dialogue." (Maeda & Chaki, 2023)
GPT (Generative Pre-trained Transformer) "models give applications the ability to create human-like text and content (images, music, and more), and answer questions in a conversational manner." (What Is GPT AI?, n.d.)