The consensus report identifies a series of significant risks, including:<\/p>\n
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By signing up with an email address, I acknowledge that I have read and agree to the Terms of Service<\/a> and Privacy Policy<\/a>.<\/p>\n Concerns about the erosion of professional judgment through overreliance on AI outputsUnclear accountability and liability when AI tools influence care decisionsAlgorithmic bias with the potential to exacerbate risks to patient safety and healthcare disparitiesIncreased cognitive burden from poorly implemented AI toolsLack of nursing-specific governance and standards for evaluating and using AI tools responsibly at the bedside, in education, or in leadership decision-making<\/p>\n Five focused, near-term actions were also identified, including issuing clear, nurse-led guardrails, curating a nursing AI playbook, advancing AI literacy and competence, strengthening policy and regulatory advocacy, and sustaining robust cross-sector collaboration.<\/p>\n “Artificial intelligence is already shaping nursing work in critical ways,\u201d said Brad Goettl, DNP, DHA, APRN, FAAN, FACHE, Chief Nursing Officer of the American Nurses Enterprise. “The profession is at a pivotal moment that requires deliberate, nurse-led action to protect patient safety, ensure nurse well-being, and sustain public trust.\u2060 We are excited by the clear, immediate actions that have emerged from the Think Tank that will define how the organization moves forward in putting the nurse voice at the center of AI and patient care.\u201d<\/p>\n Download the consensus summary here: Artificial Intelligence in Nursing Practice: Consensus Findings from the ANA AI in Nursing Practice Think Tank.<\/a><\/p>\n CONTACT: American Nurses Association Newsroom<\/p>\n American Nurses Association<\/p>\n
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