The collected texts explore the burgeoning role of artificial intelligence in safety-critical healthcare environments, particularly within nursing practice. Multiple sources emphasize the necessity of clear ethical guidelines and accountability as AI technology is integrated, ensuring it augments rather than replaces core nursing skills and human judgment. Research highlights that although AI improves performance when accurate, nurses exhibit a dangerous overreliance on AI predictions, leading to severe degradation in decision-making when the algorithm is faulty. To mitigate these risks and build trust, experts consistently advocate for transparency and explainability in AI outputs and stress the crucial involvement of nurses and subject matter experts in the development and rigorous evaluation process. Furthermore, studies on critical care nurse leaders confirm that while AI offers benefits like automation, concerns about potential algorithm bias and maintaining patient autonomy remain central to successful integration. Overall, the documents confirm that both academic institutions and professional organizations are focusing on how to responsibly manage the powerful yet risky intersection of human and machine capabilities in healthcare.