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Beyond the First Podcast
Beyond the First: Art vs. Algorithm – Is AI Killing Human Imagination?
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Beyond the First: Art vs. Algorithm – Is AI Killing Human Imagination?

When Human Inspiration Meets Machine Learning; The Battle Over AI-Generated Originality

The rise of artificial intelligence has sparked a revolution in creative industries, from film and music to digital art and design. AI can generate stunning images, compose music, and even write scripts in mere seconds. But as these technologies advance, so do the ethical and legal dilemmas surrounding them. When human expression meets machine learning, fundamental questions emerge: Is AI expanding artistic possibilities, or is it merely mimicking and repackaging human creativity?

In this episode of Beyond the First, I sit down with two students from my Media Law and Ethics class, to explore how AI is reshaping creative fields. We discuss whether AI-generated works deserve copyright protection, the threat automation poses to artists, and whether these tools are empowering or erasing human ingenuity.


When AI Holds the Brush, Who Signs the Canvas?"

🎨 Originality Redefined – AI-generated art, film, and music flood creative industries, but is it truly original or just an advanced form of imitation?

⚖️ Authorship on Trial – Copyright law assumes human intent and creative expression. But when machines remix existing works, who deserves credit— the programmer, the AI, or no one at all?

🚨 The Future of Creativity – As AI reshapes artistic production, industries face a choice: embrace AI as a tool or fight to preserve human artistry in a world increasingly dominated by algorithms.

💬 Where do we draw the line between innovation and artistic theft? And if AI can create, what does that mean for the future of human expression?


At the heart of this debate lies a core legal principle: Copyright law is built on the idea that an original work of authorship is entitled to protection. But in an era where AI generates paintings, films, and even music at the click of a button, what counts as "originality"—and who qualifies as the author? Traditional copyright frameworks assume human intent, skill, and creative expression—elements that AI challenges by remixing vast datasets of existing works. As AI-generated content floods creative industries, the legal and ethical boundaries of authorship are becoming increasingly blurred, raising urgent questions about ownership, attribution, and artistic value.

Meanwhile, artists and designers are grappling with an unsettling reality—companies are already replacing human creators with AI, raising concerns about fair compensation and the devaluation of original work. Tech developers argue that AI is just another tool, no different than a camera or a paintbrush. But where do we draw the line between inspiration and imitation? And can creative industries survive if AI-generated content saturates the market?

Join us as we unpack the legal, ethical, and philosophical tensions at the heart of this debate. In a world where machines can now “create,” we ask: What is the future of art, and who gets to define it?

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