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.
