Deciding Who Lives: The Stark Choices Facing AI in the Trolley Problem

In this episode of "A Beginner's Guide to AI," we navigate the complex intersection of artificial intelligence and ethics through the lens of the Trolley Problem. This philosophical thought experiment, questioning whether it is morally permissible to sacrifice one life to save many, gains new relevance in the age of AI. We delve into the ethical dilemmas that arise as AI systems make decisions with real-life consequences, examining how these technologies confront scenarios reminiscent of the Trolley Problem. From the ethical programming of AI to the real-world case study of self-driving cars, we explore the challenges of embedding moral decision-making in machines, the debate between utilitarian and deontological ethics, and the societal implications of autonomous choices. Join us as we ponder whether we would buy a car programmed to potentially sacrifice its passengers for the greater good, and reflect on the future we're building with AI.

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This podcast was generated with the help of ChatGPT and Claude 2. We do fact check with human eyes, but there still might be hallucinations in the output.

Music credit: "Modern Situations" by Unicorn Heads.