摘要
生成式人工智能(Generative Artificial Intelligence, GAI)的出现,深刻影响着当下各个领域,各领域积极拥抱人工智能带来的高速发展机遇。在教育领域GAI已通过多平台融合取得一定成效,随着人工智能的迭代发展,未来医学人文领域也将出现一系列潜在应用场景,诸如精准赋能提升医学人文教育成效;释放活力促进医学人文教育发展;全景体验创新医学人文教育模式。医学人文教育在与人工智能深度融合过程中,除该技术本身就存在诸如算法黑箱、信息茧房、数据隐私安全、算法歧视等方面的伦理问题,人工智能赋能医学人文教育后,又会产生具有医学人文领域特点的风险。例如可能导致医学人文价值观遗失的风险,GAI过度依赖导致医学人文领域人的主体地位削弱的风险,GAI导致教与学二元关系失衡风险。探究GAI赋能医学人文教育的伦理问题对策,需要以界为限最大可能释放人工智能赋能医学人文活力;需要以人为本让人工智能时代医学人文回归本真;需要以法为基搭建GAI助力医学人文发展良好生态。
Generative Artificial Intelligence(GAI)is emerged as a game-changing technology with far-reaching implications across various fields.It is expected to bring new opportunities for rapid development in numerous areas,including the education sector where GAI has already shown promising results through multi-platform integration.In the future,the iterative development of GAI will give rise to a plethora of potential applications in the field of medical humanities education,enhancing its effectiveness precisely,promoting its development,and creating innovative modes of panoramic experience in the teaching process.However,along with the inherent ethical issues of GAI technology,such as black box algorithms,information cocooning,data privacy and security,and discriminatory algorithms,there will also be risks with distinct medical humanities characteristics that arise from the deep integration of GAI and medical humanities education.For instance,there is a possibility of values being compromised,the diminishing of human dominance,and the imbalance of the binary relationship between teaching and learning due to an excessive reliance on GAI.In order to address these ethical concerns and devise effective countermeasures to mitigate the risks imposed by GAI in empowering medical humanities education,it is necessary to establish clear boundaries and maximize the potential of artificial intelligence.We must also ensure that GAI stays true to its original purpose in this era of rapid technological advancements,and create a conducive ecological environment for its development based on legal regulations.
作者
赵欣
柳云
Zhao Xin;Liu Yun(Research Institute of Medical and Health Science,Hebei Medical University,Shijiazhuang 050011,China;College of Marxism,Hebei Medical University,Shijiazhuang 050011,China)
出处
《临床荟萃》
CAS
2024年第1期65-69,共5页
Clinical Focus
基金
2021年河北省教育厅人文社科研究课题重大攻关项目——医学人文胜任力视域下河北省医学人文教育历史与现状研究(ZD202111)。
关键词
人工智能
医学人文
审视
generative artificial intelligence
medical humanities
riview