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As AI becomes more integrated into healthcare, trust hinges on privacy, transparency, and human oversight. These elements are critical for patient and provider acceptance of AI-driven health intelligence systems.
Companies are adopting AI more cautiously, using it as a decision-support tool rather than full automation, especially in high-risk sectors. This approach balances innovation with accountability and regulatory compliance.
Amazon is requiring senior engineers to review AI-generated code after a series of outages, highlighting the risks of relying too heavily on AI in critical systems.
