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负责任的 GeoAI 框架应对气候极端和灾害测绘伦理

一份新的立场文件介绍了“负责任的 GeoAI”概念,以应对在气候极端和灾害测绘中使用地理空间人工智能所带来的挑战。该文件强调了以绩效为驱动的部署如何加剧空间不平等和环境影响。它提出了一个侧重于数据、应用和社会范围的治理模式,强调以合乎伦理和可持续的方式进行部署以增强气候韧性。 AI

影响 促进在气候和灾害管理中应用人工智能时的伦理考量和可持续实践。

排序理由 这是一篇发表在 arXiv 上的关于负责任的 AI 实践的立场文件。

在 arXiv cs.AI 阅读 →

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负责任的 GeoAI 框架应对气候极端和灾害测绘伦理

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Hao Li, Steffen Knoblauch ·

    Unbox Responsible GeoAI: Navigating Climate Extreme and Disaster Mapping

    arXiv:2605.00315v1 Announce Type: cross Abstract: As climate extreme and disaster events become more frequent and intense, Geospatial Artificial Intelligence (GeoAI) has emerged as a transformative approach for large-scale disaster mapping and risk reduction. However, the purely …

  2. arXiv cs.AI TIER_1 English(EN) · Steffen Knoblauch ·

    Unbox Responsible GeoAI: Navigating Climate Extreme and Disaster Mapping

    As climate extreme and disaster events become more frequent and intense, Geospatial Artificial Intelligence (GeoAI) has emerged as a transformative approach for large-scale disaster mapping and risk reduction. However, the purely mechanical, performance-driven deployment of GeoAI…