Teach-Out™
Generative AI Teach-Out
This Teach-Out has been archived from the original teach-out event, which concluded on Sept. 5, 2023. While you may browse and skip between units, we recommend completing lessons in the order they’re presented.
About This Teach-Out
This Teach-Out introduces learners to artificial intelligence (AI) and explains how large language models and generative AI tools, like ChatGPT, work. Explore the ethical use of artificial intelligence, the implications of authorship, and how these tools might be utilized and regulated moving forward.
Generative AI has developed rapidly over the last year and there is growing demand for a variety of AI tools, such as chatbots and visual media generators. For instance, ChatGPT launched in November 2022 in an effort to enhance natural language processing tasks like translation, text summarization, and text generation. Within five days of release, ChatGPT crossed 1 million users. By the two-month mark, it surpassed 100 million users.
Concerns regarding the ethical implications of generative AI’s usage are emerging, particularly in business and education. This Teach-Out brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, healthcare delivery, architecture, and law to discuss the impacts of generative AI now and into the future.
This Teach-Out will answer:
- What is generative AI and how does it work?
- What are the benefits and drawbacks of using generative AI?
- What are ethical and legal implications of using generative AI?
- How have society, the economy, and education responded to generative AI?
- How might generative AI be integrated into society moving forward?
- How can learners utilize generative AI in their lives?
All contents of this Teach-Out are licensed as CC BY-SA with the exception of the course image.
Instructor
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Lessons
Introduction to Generative AI
Human Engagement with Generative AI
- Generative AI’s Humanlike Output
- Implications of ChatGPT's Humanlike Output
- Pros and Cons of ChatGPT's Humanlike Response
- Humanlike Output & Logical Reasoning
- Interpretability of AI
- Reflection Activity: Considering AI’s Humanlike Output
- Writing Good Prompts for Generative AI
- Practice Using Generative AI
- Optional: Generative AI Examples & Simple Math Problem
- Optional: ChatGPT Example - Complex Math Problem
- Optional: ChatGPT Example - Programming (Part 1)
- Optional: ChatGPT Example - Programming (Part 2)
- Optional: ChatGPT Example - Character Backstory in Dungeons and Dragons
- Optional: Example of AI Art Creation
- Reflection Activity: Share Your Experiences With Generative AI
Ethical Implications & Limitations of Using Generative AI
- Ethical Implications & Limitations of Using Generative AI
- Setting the Scene: Limitations of Generative AI Chatbots
- Setting the Scene: Plagiarism & Attribution
- Citing ChatGPT
- Bias in AI Training Data
- Representation in AI Training Data
- Bias & Discrimination in AI Output
- Ethics in AI & Hallucinations
- Deep Fakes
- AI and Creative Works
- AI in Multiple Human Languages and Training AI
- Building Generative AI Systems
- Reflection Activity: Addressing Ethical Considerations
Legal Implications of Generative AI
Impact on Society & Industry
- Impact on Society & Industry and Society's Response to New Technology
- Short and Long-Term Economic Impacts of Generative AI
- Short and Long-Term Societal Impacts of Generative AI
- Economic Responses to Generative AI
- Effects on Human Capital
- Impact On Business and AI, Business, & Entrepreneurship
- Challenges for Businesses
- Prompt Engineering
- Impact on Skill Development & Education and Implications on Education
- Using ChatGPT for Skill Development
- Evolving Skill Development in Art & Architecture
- ChatGPT as a Teammate
- AI in Medical Care, Practice, & Education
- Implications of ChatGPT Passing Certification Exams
- AI in Education: Skepticism vs Cynicism