Intellectual property is a fluid concept in AI,and will not likely be settled anytime soon. One complication is that OpenAI, for instance, states that users are responsible for the content their prompts generate, which could cause problems for users whose generated results include previously copyrighted material from the ChatGPT files.
The U.S. Copyright Office has made it clear that “to qualify as a work of ‘authorship’ a work must be created by a human being” and that it “will not register works produced by a machine or mere mechanical process that operates randomly or automatically without any creative input or intervention from a human author.” (22 U.S. Copyright Office, Compendium of U.S. Copyright Office Practices sec. 313.2,3d ed. 2021)
For a more detailed discussion, see Generative Artificial Intelligence and Copyright Law, from the Congressional Research Service
Blueprint for an AI Bill of Rights, White House Office of Science and Technology Policy
Classroom Policies for AI Generative Tools , curated by Lance Eaton. While not currently searchable, it is still small enough to be browseable. Includes examples ranging from institutional policies to policy statements for specific courses.
Artificial Intelligence (AI) in Higher Education This guide from the Teaching Commons at De Paul University provides resources for faculty seeking to incorporate or accommodate AI in their teaching.
Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions, edited by Beth Buyserie and Travis N. Thurston, Utah State University. New (April 2024) open source book.
GenAI & Ethics: Investigating ChatGPT, Gemini, & Copilot (a large, detailed slide deck by Torrey Trust, University of Massachusetts Amherst)
Teaching AI Ethics, by Leon Furze
Key Question: Can we build ethical guidelines to address concerns like bias, environment, truth, copyright, privacy, and datafication? Outlines approaches to teaching about nine areas of ethical concern regarding AI.
Top 9 ethical issues in artificial intelligence, by Julia Bossman (from World Economic Forum, 2016.) While this article is seven years old, it does address many of the key ethical issues writers continue to grapple with.
101 creative ideas to use AI in education, a crowdsourced collection curated by the #creativeHE group in the UK
Prompt Engineering Guide The Prompt Engineering Guide is a project by DAIR.AI. It aims to educate researchers and practitioners about prompt engineering.
How to Write AI Prompts: the Key to Better Outputs from Generative AI. By Laura Starita.
For the commercial side of prompting, see PromptBase, where you can buy and sell prompts
Jonathan Baily, “The Current State of Detecting AI Writing,”: “We don’t know if AI detection is even feasible, if it is how accurate current services are, and if there is any way to act on existing detections of AI writing. … Instead, the focus needs to be put on prevention.” Still, there are times when detection is useful. Below are two of the many available detection tools.
REPORT: Evaluating the Effectiveness of Turnitin's AI Writing Indicator Model from Temple University’s Center for the Advancement of Teaching