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Wait, I Made That! Creativity, Copyright & AI

AI-generated content is challenging traditional ideas of creativity, authorship, and ownership. This video examines the ethical and legal questions surrounding creativity and copyright in the age of AI.

Discussion Questions

[Note: these questions were written in the summer of 2026. It seems that every aspect of AI’s development, usage, and impact is evolving at a rapid pace. Take that into account and use relevant, recent information in formulating your answers and arguments.]

 

  1. One of the speakers believes that we should “think about the risks” before we use AI to write songs, create artworks, or animate movies. What do you think those risks are? And what do you think about those risks? Be specific.
  2. AI seems to already be very good at creating many forms of art and is getting better. How should we weigh those potential benefits against the risks you may have listed in response to question #1? Is it possible to know with certainty what benefits may outweigh those risks and which option is better?
  3. One speaker asks: “When an AI makes something, who owns it? Whose work is that?” What is your answer to these questions? Are these questions important? Explain.
  4. What level of human input do you think should be required before we conclude that a song or poem or artwork made with the help of AI should be attributed to that person?
  5. One speaker voices the opinion that artists using AI are getting lazier. Do you think this is true? If so, do you think it’s a bad thing? When automobiles, or even bicycles, were invented, some people probably said that people were getting lazier because they didn’t walk places anymore. Is there a reason why AI replacing people’s own activity carries worse ramifications in a “creative space” than it may in a less creative space such as summarizing a document or prioritizing a busy person’s email? Explain.
  6. It appears that most people are more impressed with your short story, your song, or your speech if they know that you created it yourself and did not use AI. With the use of AI being so ubiquitous, do you feel it is necessary to disclaim the use of AI when you create something new all on your own? Should saying that you didn’t use AI become the convention, or should people who do use AI feel an obligation to disclose their use? Should there be a legal obligation to do so? Would that be different if someone was applying for a copyright or a patent? Explain.
  7. Should we change copyright law to encourage or to discourage using AI to replace human creativity? Why or why not?
  8. As of July 2026, federal courts are declaring it “fair use” for an AI company to train its new large language models (LLMs) on Margaret Atwood’s (and everyone else’s) work without paying for it because they are using that material to create something entirely new and different (the generative AI model). Do you think these court rulings lead to a fair result? Should the law be changed? Support your reasoning.
  9. One speaker, describing generative AI, says “it’s very exciting because they can generate anything and its terrifying because they can generate anything.” Are you more excited or more terrified? Why?  Give specific examples to support your view.
  10. One speaker asks: “Are we really benefitting all of humanity so much that it’s okay to trample on these other rules that we have established to benefit individuals?” What is your answer to this question? Give specific reasons to support your answer.
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Meet Your New Coworker: Employment & AI

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The Hidden Cost of AI: Energy & the Environment

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Fact vs. Fiction: Information Integrity & AI

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Human Mind Traps: Behavioral Ethics & AI

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Is That Fair? Bias & AI

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AI can reflect and amplify biases found in society, in the humans who create AI, in the data used to train AI systems. This video examines AI fairness and what AI bias means for our world.

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Outsourcing Thought: Overreliance & AI

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AI can improve efficiency and decision-making, but excessive reliance on these systems can diminish critical thinking and independent judgment. This video examines the ethical risks of overreliance on AI.

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Racing to… Where? Regulation & AI

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AI is evolving faster than many existing laws and policies. This video examines the role of regulation, the need for effective guardrails, and the challenges of governing a rapidly changing technology.

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The Black Box: Transparency, Trust & AI

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The Blueprint for AI? Social Media & AI

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Who’s in Control? Human Agency & AI

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Appropriation & Attribution

Appropriation & Attribution

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AI Ethics

AI Ethics

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Algorithmic Bias

Algorithmic Bias

Algorithmic bias occurs when AI algorithms reflect human prejudices due to biased data or design, leading to unfair or discriminatory outcomes.

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Artificial Intelligence

Artificial Intelligence

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Technological Somnambulism

Technological Somnambulism

Technological somnambulism refers to the unreflective, blind creation and adoption of new technologies without consideration for their long-term societal and ethical impacts.

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AI Ethics: Is the Precautionary Principle Helpful?

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There is little question that artificial intelligence (AI)—if it continues to be developed as most experts foresee—will reshape our world. Some changes will be positive. Some will be negative. As we pointed out in a previous blog post (AI Ethics: “Just the Facts Ma’am”), having a firm handle on the facts is prerequisite to making […]

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The potential impact of Artificial Intelligence (AI) on our world–for good and for ill–continues to expand rapidly. On balance, the progress that science and industry have wrought over the centuries—think of the printing press, the steam engine, electricity, vaccines, penicillin, computers, and innumerable other advances–have made the world a better place. Some argue that the […]

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Case Studies

We are currently working on a case study related to AI, creativity, and copyright. Be the first to know when it’s released by subscribing to our newsletter.

Click here to find our other case studies related to artificial intelligence.

Companion e-book

link to open book

AI Ethics Companion Handbook

This e-book compiles all the resources on AI ethics available on the Ethics Unwrapped website. It will continue to be updated as new materials are published.

Additional Resources

A recent resource from Ethics Unwrapped is a book, Behavioral Ethics in Practice: Why We Sometimes Make the Wrong Decisions, written by Cara Biasucci and Robert Prentice. This accessible book is amply footnoted with behavioral ethics studies and associated research. It also includes suggestions at the end of each chapter for related Ethics Unwrapped videos and case studies. Some instructors use this resource to educate themselves, while others use it in lieu of (or in addition to) a textbook.

The most recent article written by Cara Biasucci and Robert Prentice describes the basics of behavioral ethics and introduces Ethics Unwrapped videos and supporting materials along with teaching examples. It also includes data on the efficacy of Ethics Unwrapped for improving ethics pedagogy across disciplines. Published in Journal of Business Law and Ethics Pedagogy (Vol. 1, August 2018), it can be downloaded here: “Teaching Behavioral Ethics (Using “Ethics Unwrapped” Videos and Educational Materials).”

Cara Biasucci also wrote a chapter on integrating Ethics Unwrapped in higher education, which can be found in the latest edition of Teaching Ethics: Instructional Models, Methods and Modalities for University Studies. The chapter includes examples of how Ethics Unwrapped is used at various universities.

An article written by Ethics Unwrapped authors Minette Drumwright, Robert Prentice, and Cara Biasucci introduce key concepts in behavioral ethics and approaches to effective ethics instruction—including sample classroom assignments. Published in the Decision Sciences Journal of Innovative Education, it can be downloaded here: “Behavioral Ethics and Teaching Ethical Decision Making.”

A detailed article written by Robert Prentice, with extensive resources for teaching behavioral ethics, was published in Journal of Legal Studies Education and can be downloaded here: “Teaching Behavioral Ethics.”

Another article by Robert Prentice, discussing how behavioral ethics can improve the ethicality of human decision-making, was published in the Notre Dame Journal of Law, Ethics & Public Policy. It can be downloaded here: “Behavioral Ethics: Can It Help Lawyers (And Others) Be their Best Selves?

A dated (but still serviceable) introductory article about teaching behavioral ethics can be accessed through Google Scholar by searching: Prentice, Robert A. 2004. “Teaching Ethics, Heuristics, and Biases.” Journal of Business Ethics Education 1 (1): 57-74.

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