When AI Sounds Reasonable examines a quiet failure mode in modern AI systems — not hallucinations or obvious errors, but how alignment, safety, and norm prediction can produce answers that sound careful while failing to engage with the question actually asked. The series explores why those design choices matter for truth, liberalism, pluralism, and legitimate restraint.