Using AI for Students: Enhance Your Learning

Generative artificial intelligence (AI) is a category of web-based tools that use algorithms, data, and statistical models to draw reasonable inferences to create content of its own (e,g., text, images, etc.). They are not search engines but rather trained chatbots. Using a prompt, a chatbot strives to fill in the next missing content piece, "what one might expect" (Wolfram).

These tools use large language models (LLMs) to provide bots with the data they need to reply to a prompt you have given it appropriately. For example, when ChatGPT writes a response to a prompt, it provides text based on what words came before and what is the most likely next word. Because AI uses natural language and computes so quickly, it can often seem like the chatbot is, in fact, intelligent.

The field of AI is changing at a rapid pace. We know that these generative tools help users synthesize information and create content (code, essays, art, music, etc.). However, these tools can also create falsehoods, make up sources, and create biased content.

Make sure it is ethical to use AI and fact-check any content and sources you plan to use in the work you share with others or publish that has been generated by AI.  You can use this AI "how-to" Manual for college students:

Most people new to using AI have heard of Chat GPT, a large language model (LLM), and Dall-E, a text-to-image model. There are many AI tools, however, with different purposes, features, and pros and cons to evaluate when considering how to use them. There is a lot of transition in the AI industry, so we are linking to a few key resources that track these developments and can help you make decisions about using AI.

Comparisons of AI tools:

• Big 6 Tools for students (AAC&U/Elon U) - introduces common tools for students
• Using Generative AI Tools (UCSD) - compares tools, and includes instructions on how to develop more effective prompts
• Lifehacker’s “Exposing AI” series - “how to” pieces on identifying various kinds of AI generated content
• Generative AI Product Tracker (from Ithaka S+R) - compares many tools in a table format

If you're going to use a GenAI tool or platform, be sure to use your critical thinking skills. This list of things to keep in mind, adapted from an NPR article, is a good start:

Privacy: Be cautious about sharing any personal information with AI tools. These platforms may use your input for training AI models, and companies developing these models may have access to what you enter. Are you comfortable with your input data or prompts being shared?

Purpose: What are you using the software to create? Are you asking an image generator to copy the style of a living artist, for example? Or using it in a class without your teacher's knowledge? Consider the ethical implications of your use case and if you are unsure whether your use case is allowed in an academic context, try this AI "how-to" Manual

Consider these Cautions: Are you aware of the environmental costs of AI? Read this Seattle Times article about impacts in Washington. (Paywall a problem? Try Newsbank instead if you have a UW NetID.)

Consent: If you're creating an image, who are you depicting? Could the person be harmed by the portrayal? What is your intent behind creating this image?

Disclosure: If you're sharing your AI-generated content on social media, have you made it clear this content is computer-generated? What would happen if they were shared further without that disclosure?

Fact check: Generative AI get things wrong and it is important to double-check any important information before you post or share it. Have you done this?

Further research has also led to these 7 Core Principles for students

Much of the information in this guide comes from the UC San Diego Library research guide on Generative Artificial Intelligence.