Artificial Intelligence is both a field of study and a type of technology. Artificial Intelligence or AI refers to the capacity of computers or other machines to exhibit or simulate human behavior (OED).
Generative AI tools like Chat GPT represent a new way in which we can interact with information, and require us to use our existing information literacy skill set in different contexts. This guide is designed to help you critically engage with generative AI tools and evaluate their output.
Open AI's notorious AI chatbot, ChatGPT, was released in late 2022, inspiring the hype around Generative AI.
Generative AI like ChatGPT can learn from existing artifacts to generate new content that reflect the characteristics of their training data. (Read More)
ChatGPT is trained on a Large Language Model (LLM) containing large amounts of public and some private data, largely dated before 2021.
While it may feel like magic, the technology has some inherent limitations. To understand any AI technology, it's important to understand:
a) the data that it was trained on, and
b) the basics of how the technology is designed.
For ChatGPT specifically, here are the main limitations that users should keep in mind:
*October 2023 Update: OpenAI has updated ChatGPT-4 so that users can enable browsing across live internet information.
What we are really seeing today are different AI-driven applications. Therefore, it's important to understand the applications that fall under AI.
Below, you will find an AI Family Tree (created by librarians at McGill University) that illustrates some, but not all, of the relationships between different applications and AI. To fully understand the tree, see their blog post.
Source: McGill University