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Showing 1–5 of 5 results
Advanced filters: Author: Monique M. Kuglitsch Clear advanced filters

  • Artificial intelligence can enhance our ability to manage natural disasters. However, understanding and addressing its limitations is required to realize its benefits. Here, we argue that interdisciplinary, multistakeholder, and international collaboration is needed for developing standards that facilitate its implementation.

    • Monique M. Kuglitsch
    • Ivanka Pelivan
    • Elena Xoplaki
    Comments & OpinionOpen Access
    Nature Communications
    Volume: 13, P: 1-3

  • Uptake of explainable artificial intelligence (XAI) methods in geoscience is currently limited. We argue that such methods that reveal the decision processes of AI models can foster trust in their results and facilitate the broader adoption of AI.

    • Jesper Sören Dramsch
    • Monique M. Kuglitsch
    • Arthur Hrast Essenfelder
    Comments & Opinion
    Nature Geoscience
    Volume: 18, P: 112-114

  • This Comment analyzes a global online landslide classification challenge to examine whether AI competitions can help participants engage with international standards. The results show that while technical innovation was strong, awareness of standards on transparency, sustainability, and bias was limited. The prototype used for this competition can serve as a scalable mechanism to foster the responsible use of AI for disaster risk reduction and beyond.

    • Lorenzo Nava
    • Monique M. Kuglitsch
    • Filippo Catani
    Comments & OpinionOpen Access
    npj Natural Hazards
    Volume: 2, P: 1-5