In pairs, discuss your thoughts on why or why not the penalties are fair in the AI Plagiarism Scenario.
A wider class discussion with some pairs sharing their thoughts to the class.
(AI for Education, 2023)
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Defining Generative AI
To understand generative artificial intelligence (GenAI), we first need to understand how the technology builds from each of the AI subcategories listed below.
Artificial Intelligence, the broadest category, is the theory and methods to build machines that think and act like humans (shows an illustration of a brain with brightly colored areas). Programmers teach AI exactly how to solve specific problems by providing precise instructions and steps.
Machine Learning, a subcategory of Artificial Intelligence, is the ability for computers to learn from experience or data without human programming (shows an illustration of a laptop with a lightbulb on the screen).
Deep Learning, a subcategory of Machine Learning, mimics the human brain using artificial neural networks such as transformers to allow computers to perform complex tasks (shows an illustration of a network with notes and connections).
Generative AI, a subcategory of Generative AI, generates new text, audio, images, video or code based on content it has been pre-trained on (shows decorative icons beside ChatGPT, Midjourney, and Bard).
