GenAI Recommended Resources

University Libraries

• Artificial Intelligence (AI):. (opens in a new window) Ethics, readings, help, and tools for AI in an academic and research setting. Includes a comparative table (AI matrix) of various AI tools/platforms.
• Direct navigation to the matrix comparing AI tools/platformsLinks to an external site. (opens in a new window) Word document and their various costs, purpose, and risks to consider for academic writing and research. Matrix will be updated before each semester, or more. Information from the AI Matrix Table is available below. Last updated on May 24, 2024.

GenAI and Teaching and Learning

• Harnessing the Power of Generative AI: A Call to Action for Educators from Inside Higher Ed": (opens in a new window)If educators steer the integration of AI with intention and purpose, it can reach its potential as an immense and versatile student success tool," writes faculty member Ripsimé K. Bledsoe. She offers six areas on which to focus efforts.
• Professors Ask: Are We Just Grading Robots? (opens in a new window): Faculty seem to "agree that administrators need to provide more and better support for faculty members, who remain largely on their own as they try to adapt to this rapidly changing landscape."
• Teaching with AI (opens in a new window): Jose Bowen, one of the authors of the book of the same name, is interviewed on the Future Trends Forum.
• This Teaching Newsletter (opens in a new window) from the Chronicle highlights a range of approaches faculty are taking to GenAI. There are some good ideas and valuable links.
• More links and excitement about GenAI not ignoring higher education, in this piece (opens in a new window) at Inside Higher Ed.

Ethical Use of GenAI in the Classroom

• Memo to faculty: AI is not your friend (opens in a new window) (Inside Higher Ed)
• AI and the Death of Student Writing. (opens in a new window) (Chronicle)
• Professors Ask: Are We Just Grading Robots (opens in a new window) (Chronicle)
• Generative AI Implications and Considerations for Higher Education Practice. As you read, consider the following questions:
  • Which (if any) of the ethical issues regarding GenAI that are mentioned in the article do you find particularly important and/or vexing? Why?
• A Framework for Responsible AI Education Working Paper (opens in a new window)
  • This article discusses the challenges and debates surrounding the integration of large language models (LLMs) in education. It emphasizes the need for a responsible AI education framework, addressing risks such as AI-generated errors, biases, privacy concerns, and academic dishonesty. The proposed framework focuses on social justice, inquiry-based learning, reflection, and contextualizing AI in real-world issues, aiming to prepare students for an AI-dominated future.
• AI Assisted Authorship (opens in a new window)
  • This article explores the challenges surrounding the integration of large language models (LLMs) in scholarly work. It critically examines existing policies, such as Nature’s prohibition on acknowledging AI writers as authors, and proposes two fundamental considerations: continuity (the extent to which AI contributions persist in the final product) and creditworthiness (whether AI-generated content typically receives academic or professional credit). The report aims to guide academics in determining when and how to credit AI writers’ contributions.
• The New York Times' Ethicist weighs in: Can I Use A.I. to Grade My Students' Papers? (opens in a new window)

GenAI New in the News

GenAI in the news. Curated and updated regulary.

• OpenAI Unveils App Store for Custom Chatbots (opens in a new window): If you're a subscriber, you can build custom GPTs.
• An oldie, but a goodie... Faculty fellow Paul Shovlin recommends "You are not a parrot." (opens in a new window)
• Apple unveiled "Apple Intelligence (opens in a new window)" to the public on June 10. It is also powered in large part by GPT4. Until now most people having been seeking out GenAI, but when it comes preloaded on your phone ....

GenAI Books

Some books on GenAI and related topics. These are available in OU Libraries.

• Bowen, Jose Antonio and C. Edward Watson. Teaching with AI: A Practical Guide to a New Era of Human Learning. John's Hopkins, UP, 2024.
• Dickinson, Lynn M. How to Use ChatGPT (and other LLMs) as a Teaching Assistant: A Guidebook for Higher Education Faculty. 2023.
• Mollick, Ethan. Co-Intelligence: Living and Working with AI. Penguin, 2024.

Tech and How-to Resources

• I Scanned 1000+ Prompts so You Don’t Have to: 10 Need-to-Know Techniques (opens in a new window)
• Prompt engineering guide (opens in a new window)
• "The art of human prompt engineering." (opens in a new window)
• Prompt Refinement with Copilot Notebook (Panopto Video) (opens in a new window)
• Using Copilot from your Web-based Catmail (Panopto Video) (opens in a new window)
• Using Copilot with Microsoft Word and PowerPoint (Panopto Video) (opens in a new window)

Podcasts

Some of the most interesting debates on generative AI occur in our favorite podcasts -- tangentially related to teaching and learning.

• A Conversation with Prime Minister Justin Trudeau of Canada ...: It turns out A.I. is surprisingly Canadian. (opens in a new window) "This week, we host a cultural exchange. Kevin and Casey show off their Canadian paraphernalia to Prime Minister Justin Trudeau, and he shows off what he’s doing to position Canada as a leader in A.I. Then, the OpenAI whistle-blower Daniel Kokotajlo speaks in one of his first public interviews about why he risked almost $2 million in equity to warn of what he calls the reckless culture inside that company."
• What Really Went Down at OpenAILinks to an external site. (opens in a new window): "If there’s one AI company that’s made a splash in mainstream vernacular, it’s OpenAI, the company behind ChatGPT. Former board member and AI policy expert Helen Toner joins Bilawal to discuss the existing knowledge gaps and conflicting interests between those who are in charge of making the latest technology – and those who create our policies at the government level."
• Why AI Won't Destroy (opens in a new window): "Trevor puts on a suit (no, he’s not returning to The Daily Show) and heads to Microsoft. This week Brad Smith, Vice Chairman and President of Microsoft talks AI, explains why he doesn’t believe it will be the end of humankind, and what we all have to do to keep it that way."