Early Overview of AI and OER

Introduction

It might feel overwhelming to start thinking about artificial intelligence and OER. In this case, it's important to note that right now most people are thinking specifically about generative artificial intelligence. It's also important to note that the AI landscape is changing rapidly. 

To learn more about how generative AI works, you may want to check out  Google Cloud courses and documentation:

• Machine Learning Links to an external site. (for a zoomed out picture of AI and how generative AI fits into it)
• Introduction to Large Language Models Links to an external site. 
• Introduction to Prompting Links to an external site.
• What are AI Hallucinations? Links to an external site.

There is also a glossary Links to an external site.from TED AI San Francisco.  

AI Benefits

Some potential benefits of using AI in OER creation are: 

• The ability to quickly generate text, images, videos, and music 
• Brainstorming with a chatbot
• Efficient content translation, localization, and adaptation for global audiences 
• Efficient generation of quizzes, explanations, and resources customized for individual learning experiences
• Coding assistance and research summarization 
• Rapid Prototyping 
• Customizable outputs that can be tailored for tone, styles, and formats. 

AI Concerns 

There are significant concerns about generative AI, including: 

• Misinformation, Deepfakes, Bias 
• Plagiarism and Copyright Issues 
• Privacy 
• Job Displacement
• Environmental Impact 
• AI Hallucinations 
• Lack of availability to users in different global regions or with financial limitations.

If you want to dig deeper into these concerns, consider exploring Harm Considerations of Large Language Models (CC BY NC SA) Links to an external site..