地球友好计算:在医疗和主权AI中应用土著数据生命周期
Keolu Fox1, Krystal Tsosie2, Alex Ioannidis3
1University of California San Diego, United States.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|December 13, 2024
概括
这项研究探讨了地球友好计算,整合了土著数据主权,循环系统和Solarpunk解决方案以实现可持续性. 它还检查了人工智能 (AI) 在医疗保健的关心点,以实现可持续的革命.
科学领域:
- 环境科学与可持续发展
- 计算机科学和人工智能 人工智能
- 土著研究和数据治理研究.
背景情况:
- 越来越需要可持续的计算实践.
- 技术,土著权利和生态原则的新兴交叉点.
- 人工智能的潜力可以彻底改变医疗保健的提供.
研究的目的:
- 探索地球友好计算的创新方法.
- 调查土著数据主权和循环系统的整合.
- 检查人工智能在可持续,基于边缘的医疗保健中的作用.
主要方法:
- 文献综述和概念分析.
- 实例研究探索Solarpunk原则的研究.
- 在护理点设置中分析人工智能应用.
主要成果:
- 确定可持续计算的关键框架.
- 强调了土著数据主权在生态解决方案中的重要性.
- 展示了人工智能在分散,可持续的医疗保健方面的潜力.
结论:
- 地球友好计算为可持续未来提供了一条道路.
- 跨学科的方法对于应对复杂的环境和社会挑战至关重要.
- 人工智能和土著知识系统可以协同开发有影响力的解决方案.
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