AI Resources
NCDIT Resources
AI Assessment
The Privacy Threshold Analysis (PTA) is used to assess privacy, security and AI responsible-use risks for projects or systems using AI or generative AI. The PTA includes a question specifically about the use of AI and requires a description of the project or system where the use of AI is captured. Risk is assessed based on the Fair Information Practice Principles, which are the foundation for NCDIT’s Principles for Responsible Use of AI.
State agencies seeking additional information about the PTA or AI risk assessment can send an email to the Office of Privacy and Data Protection. Those seeking support to mature generative AI use cases can also send an email to the AI Working Group.
Other Resources
- Government Use of AI - Federal site for use of AI in government, including links to AI policy, use case inventories and more
- Copyright and Artificial Intelligence - Information from the U.S. Copyright Office about how the U.S. is handling copyright and AI.
- U.S. Artificial Intelligence Safety Institute
- AI Alliance
AI Ethics & Strategy
- AI Safety Institute's Strategic Vision (National Institute of Standards and Technology)
- Ethics of Artificial Intelligence (UNESCO)
- Blueprint for an AI Bill of Rights (White House Office of Science and Technology Policy)
AI Training
The N.C. Department of Information Technology has complied the following resources from around the internet for those seeking to understand more about AI.
| Course | Description |
|---|---|
| Introduction to Generative AI | Google's course focused on explaining what generative AI is, its uses and the differences between generative AI and traditional machine learning methods |
| What Is Generative AI? | Microsoft's course explaining the basics of generative AI – including what it is, how it works, creating your own content, models, predictions for the future of AI and ethics |
| Your Guide to Generative AI | Learn Prompting's free course on AI that contains more than 60 content modules on how to safely and effectively use AI |
| Introduction to Responsible AI | Google's free eight-hour course that includes information about responsible AI and why it is essential |
| Data Science: Machine Learning | Harvard's eight-week (free to audit) course covering the basics of machine learning, how to perform cross-validation to avoid overtraining, some popular machine learning algorithms, how to build a recommendation system, and more |
| Chatting as a Productivity Tool | Microsoft's course covering how its chat tool can perform tasks and help streamline your workflow; addresses idea generation, data summarization and more |
| Microsoft Azure AI Fundamentals: Generative AI | Covers understanding how large language models form the foundation of generative AI; describes how Azure OpenAI Service provides access to generative AI technology; explains how generative AI applications support efficiencies; describes how prompts and responses can be fine-tuned; and addresses responsible AI principles |
| Generative AI Learning Plan for Decision Makers | Amazon's three-hour course designed to introduce generative AI to business and technical decision makers; includes an overview of generative AI and an approach to plan a generative AI project |
| Generative AI for Everyone | Coursera's six-hour course covering how generative AI works, what it is, common use cases and limitations |
| Generative AI with Large Language Models | Coursera's 16-hour course that provides foundational knowledge, practical skills and a functional understanding of how generative AI works |