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Section 1: What is Creativity, Anyway?

Spot the Bot: Human vs. AI

Defining the Word 'Creative'

Section 2: How the Magic Trick Works

The Remix Machine: Patterns and Data

Prompts: Whispering to the Machine

🎮 Crossword: Tech Terms Challenge

Section 3: The Great Debate: Tool or Artist?

Team Tool: Is AI Just a Fancy Paintbrush?

Team Artist: When the Machine Surprises Us

Section 4: Ownership and Fairness

Wait, Who Owns That?

Is It Stealing? The Training Data Problem

Quiz: Test Your AI Knowledge

Quiz: Defining Creativity

Quiz: How AI Works

Quiz: Tool vs. Artist

Quiz: Ownership Ethics

Quiz: Final Concept Check

Final Feedback

Course Survey

Is a machine truly creative—or just remarkably good at remixing what already exists? AI and Creativity: Debating Authorship, Originality, and Human Values invites you to explore the frontier where technology meets the human imagination. Through engaging examples, debates, and interactive activities, you’ll learn how modern AI tools generate images and text, why prompts matter, and what “creativity” really means in an age of algorithms. You’ll compare human-made and AI-generated works, evaluate the role of intention and emotion in art, and unpack the mechanics behind generative models—pattern recognition, prediction, and massive training datasets. The course also examines the ethical and legal questions shaping today’s creative economy: Who owns AI-generated outputs? Is training on artists’ work fair use or appropriation? How should credit and compensation be handled? By the end, you’ll have a nuanced perspective on whether AI is a tool, a collaborator, or something in between—and the language to argue your position with confidence. Perfect for students, creators, educators, and curious professionals, this course blends critical thinking with hands-on exploration to help you navigate the fast-evolving landscape of AI and human creativity.

AI and Creativity: Debating Authorship, Originality, and Human Values

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            <p>Imagine scrolling through your feed and seeing a stunning piece of digital art, only to find out it wasn't made by a human with a stylus, but by a computer program following a few lines of text. It’s a bit trippy, right? This course dives straight into that weird feeling by asking the big question: can a machine actually be creative, or is it just really good at playing "follow the leader" with data? We’re going to put your eyes to the test to see if you can spot the difference between human-made masterpieces and AI-generated images, while exploring what it even means to have an original idea in the first place.</p>

<p>Once we get past the "wow" factor, we’re going to look under the hood to see how this magic trick actually works. You’ll learn how AI uses massive amounts of data to predict patterns—kind of like a super-powered version of autocomplete—and how the prompts you write act as a steering wheel for the machine. But the real drama starts when we debate whether AI is just a fancy new paintbrush or a brand-new type of artist. We’ll also tackle the tough stuff, like whether using an artist's work to train a computer is fair and who actually owns a picture when a human provides the prompt but the robot does the drawing. Get ready to pick a side and join the debate on the future of art and technology.</p>
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