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Debate: Can We Trust AI in Women's Health? Managing Risk, Bias, and Model Reliability
Motion: This house believes that current AI systems are not yet reliable enough for widespread clinical deployment in women's health. This debate will explore: ' Whether current AI models are sufficiently reliable for use in high-stakes areas such as diagnostics, triage, and risk prediction in women's health. ' To what extent hallucinations, bias, and data gaps continue to limit trust and create risk for providers, payers, and regulators. ' Whether existing validation, monitoring, and governance frameworks are robust enough to support safe and scalable deployment
