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How AI Works

How AI Works

By: Podra Network
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What is actually going on inside AI — the concepts, the breakthroughs and the science behind artificial intelligence explained clearly.Copyright Podra Network
Episodes
  • Ethics in the Algorithm: Bias, Fairness, and Responsible AI

    Ethics in the Algorithm: Bias, Fairness, and Responsible AI
    Jun 24 2026
    In this essential episode of How AI Works, host Daniel Cole explores the critical intersection of artificial intelligence and ethics. Discover how bias creeps into AI systems through training data and learn about the real-world impacts of algorithmic discrimination in facial recognition, criminal justice, and healthcare applications. Cole examines different philosophical approaches to fairness in AI, from equal treatment to equal outcomes, and discusses why these concepts often conflict. The episode covers practical solutions including diverse development teams, algorithmic transparency, and continuous bias auditing. Learn about emerging AI regulations like the EU's AI Act and understand your role as a citizen in the age of algorithmic decision-making. From data quality and representation to the importance of human oversight, this comprehensive discussion provides essential insights into responsible AI development. Whether you're a tech professional, policy maker, or simply someone affected by AI systems in daily life, this episode offers crucial knowledge about ensuring artificial intelligence serves all of humanity fairly. Explore the ongoing challenges and promising solutions in the quest to build ethical, accountable, and inclusive AI systems that respect human rights and democratic values.
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    5 mins
  • The Limits of Silicon Intelligence: What AI Can't Do

    The Limits of Silicon Intelligence: What AI Can't Do
    Jun 17 2026
    In this thought-provoking episode of How AI Works, host Daniel Cole examines the fundamental boundaries of artificial intelligence. While AI systems demonstrate remarkable capabilities across many domains, they face significant limitations that are important to understand. The episode explores how AI struggles with common sense reasoning, lacks true understanding of causation beyond pattern recognition, and cannot engage in genuine creativity despite impressive content generation abilities. Cole discusses why current AI systems cannot experience emotions or consciousness, highlighting the difference between simulating responses and genuine subjective experience. The episode also covers challenges in physical world interaction and the inability of AI to engage in authentic moral reasoning. Rather than diminishing AI's achievements, understanding these limitations helps us use AI tools more effectively while recognizing the continuing importance of human capabilities like creativity, emotional intelligence, and ethical judgment. This balanced perspective is essential for anyone seeking to understand AI's role in our increasingly digital world and the irreplaceable value of human intelligence in domains requiring genuine understanding, moral reasoning, and creative insight.
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    5 mins
  • Artificial Creativity: Can Machines Really Create Art?

    Artificial Creativity: Can Machines Really Create Art?
    Jun 10 2026
    In this thought-provoking episode of How AI Works, host Daniel Cole explores whether artificial intelligence can truly create art or merely produce sophisticated imitations. We examine cutting-edge AI art generators like DALL-E, Midjourney, and Stable Diffusion, alongside AI music composers and poetry generators, questioning what separates genuine creativity from pattern recognition.

    The episode delves into fundamental questions about consciousness, intention, and artistic expression. Can machines without lived experience or emotions create meaningful art? We explore different perspectives on creativity - from traditional views emphasizing human experience to modern interpretations focusing on audience impact and collaborative potential.

    Key topics include the role of training data in AI creativity, implications for human artists, and questions of authorship and authenticity in algorithmic art. We examine how AI systems learn from vast datasets of human artwork and the ethical considerations surrounding compensation and originality.

    The discussion also covers the evolving relationship between human artists and AI tools, with many creators embracing AI as creative partners rather than replacements. We consider how AI might represent an entirely new form of creativity, similar to how photography transformed traditional painting.

    Perfect for artists, technologists, philosophers, and anyone curious about the intersection of artificial intelligence and human creativity. Join us as we navigate the complex landscape where technology meets artistic expression, exploring what it truly means to create in the age of AI.
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    4 mins
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