AI Deconstructed demystifies the complex world of artificial intelligence. We break down everything from neural networks to large language models into simple, understandable episodes. Whether you're a student or just curious, join us to learn how AI really works, one concept at a time.
EP25 - The Alignment Problem: Ensuring a Safe and Beneficial Future
In our series finale, we tackle the most critical challenge in artificial intelligence: the alignment problem. As AI systems surpass human capabilities, how do we ensure their goals, values, and objectives remain aligned with our own? This episode explores the profound difference between what we tell an AI to do and what we actually mean, and why solving this is the final, essential step in building a safe and beneficial AI future.
25 Oct 2025
EP24 - AI Ethics: Decoding Algorithmic Bias, Fairness, and Accountability
AI systems are not neutral. This episode moves from technical mechanisms to societal impact, exploring how algorithmic bias arises from human data and design. We will deconstruct real-world cases of AI-driven discrimination in hiring, justice, and healthcare, and then establish the core principles of fairness, transparency, and accountability required to build responsible and ethical AI.
18 Oct 2025
EP23 - Generative AI (Part 2): Diffusion Models and the Art of Denoising
We deconstruct the generative AI revolution behind DALL-E, Midjourney, and Stable Diffusion. This episode explores Diffusion Models, explaining the elegant, two-part process of destroying an image with noise and training a network to meticulously reverse the damage, sculpting order from chaos. This is the engine of modern AI image generation.
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