AI Literacy and Ethics

Artificial intelligence (AI) is "any technology/machine that can perform complex tasks that are typically associated with human intelligence" (Notre Dame Learning). Whether you use facial recognition to unlock your phone, Spotify or YouTube generated playlists, or even speech-to-text to send messages, you are engaging in a form of AI.

Generative artificial intelligence (GenAI) is a type of AI that discerns patterns in existing data and produces new content based on those patterns. Popular GenAI tools include ChatGPT, Cluade, DALL-E, and Synthesia.

Large Language Models (LLMs) are a type of artificial intelligence that analyze large datasets to learn patterns and rules of language. They are the basis of GenAI (What is a LLM?)

While the library does not endorse any specific AI tool, we are here to help you understand this evolving technology, navigate the various AI tools available to you, and make informed decisions to develop your scholarly voice and researcher profile.

The definition for AI literacy is still evolving. Some habits of AI literacy present across various sources include:

1. Critically evaluate AI technologies and the information produced
2. Communicate effectively with AI
3. Use AI as a tool in work, school, and personal situations as needed

Here are some resources that discuss AI literacy:

• AI Literacy: A Guide for Academic Libraries
• AI Competencies for Academic Library Workers
• AI Literacy in the Age of ChatGPT
• Research Libraries Guiding Principles for Artificial Intelligence

These videos from the Wharton School provide a helpful introduction to AI.

• Part 1: Introduction to AI for Teachers and Students
• Part 2: Large Language Models (LLMs)
• Part 3: Prompting AI
• Part 4: AI for Teachers
• Part 5: AI for Students