Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill.
Department of Computer Science, University of North Carolina at Chapel Hill.
N C Med J. 2024 Jun;85(4):238-239. doi: 10.18043/001c.120561.
A comprehensive, collective approach to navigating the challenges of bias, privacy, and ethical considerations presented by the use of artificial intelligence in health care will require robust frameworks, continuous learning, and a commitment to equity. The insights and discussions presented in this issue are a testament to the ongoing efforts in North Carolina and beyond to find a balance between innovation with responsibility, ensuring that AI can deliver on its promise to enhance outcomes.
全面、综合的方法来应对人工智能在医疗保健中应用所带来的偏见、隐私和道德问题的挑战,需要强有力的框架、持续的学习和对公平的承诺。本期特刊中提出的观点和讨论,证明了北卡罗来纳州乃至其他地区正在努力在创新与责任之间找到平衡,以确保人工智能能够实现其提高成果的承诺。