对于使用人工智能和技术来预测喘发作风险的看法:对毛利人的观点的定性探索
Widana Kankanamge Darsha Jayamini1,2, Farhaan Mirza1, Marie-Claire Bidois-Putt3
1Department of Computer Science, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand.
JMIR formative research
|October 30, 2024
概括
患有喘的毛利人希望技术能够自我管理,但对人工智能 (AI) 和机器学习 (ML) 的使用表示担忧. 解决信任和信息差距对于公平的AI驱动的喘护理至关重要.
科学领域:
- 数字健康数字健康
- 土著健康土著健康
- 人工智能的人工智能
背景情况:
- 喘影响了超过50万新西兰人,毛利人经历了不成比例的更糟糕的结果.
- 像AI和ML这样的数字技术用于喘预测,但风险偏见少数群体.
- 现有的健康不平等可能会被人工智能模型所加剧,这些模型代表着毛利人.
研究的目的:
- 探索毛利人对人工智能和机器学习的观点,以对喘进行自我管理.
- 确定开发公平的喘发作风险预测模型的关键考虑因素.
- 确保毛利人在ML模型中的代表性,而不会加剧健康差距.
主要方法:
- 进行了半结构化采访,对20名毛利族喘患者进行了采访.
- 采用主题和情绪分析来识别关键主题和参与者的情绪.
- 采用了来自变压器的双向编码器表示模型来进行情感分析.
主要成果:
- 确定了四个主题:对人工智能的担忧,对技术的兴趣,所需的系统特征和喘护理经验.
- 参与者表达了对人工智能的不熟悉和信任的担忧,受历史殖民的影响.
- 大多数参与者对喘管理技术表现出兴趣,提供了对偏好和医疗保健挑战的见解.
结论:
- 毛利社区需要更多关于人工智能和医疗保健技术的信息和建立信任.
- 确定了参与者对基于计算机的健康应用程序的期望.
- 结果将为未来的AI和喘护理技术开发提供信息,特别是在新西兰的土著人口中.
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