Special note regarding generative AI
Although some providers claim they won’t incorporate user data into their learning model, it is advisable and considered best practice to avoid putting any medium- or high-risk data into an AI platform, such as ChatGPT and Google Bard.
What is generative AI?
You have probably seen or heard of ChatGPT and DALL-E 2 as current examples under the generative Artificial Intelligence (AI) umbrella, but generative AI has a much longer history, and AI is found in many more tools.
One of the key features of generative AI is its ability to identify patterns and structures from input data it receives, and then apply that input to automatically generate content through the use of various algorithms and models.
Where can I find more information?
The Learning and Teaching Center (LTC), and Writing Across the Curriculum (WAC), are discussing AI and its effects within the educational context. Please find below a list of articles and sites that may be of some interest to you, including a link to join Carleton’s AI Community of Practice.
Terms, data and security risks, and
general information about generative AI
- Large Language Models
- Data stewardship and ChatGPT
- Cybersecurity (phishing)
- AI vs Machine Learning vs Deep Learning vs Neural Networks