Deep fake geography? When geospatial data encounter Artificial Intelligence
Deep fake geography? When geospatial data encounter Artificial Intelligence
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深假地理？
DOI：
10.1080/15230406.2021.1910075
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发表时间：
2021
影响因子：
2.5
通讯作者：
Chengbin Deng
中科院分区：
文献类型：
--
作者：
Bo Zhao;Shaozeng Zhang;Chunxue Xu;Yifan Sun;Chengbin Deng
摘要人工智能和地理信息系统科学的发展融合引起了人们对深度伪地理的出现及其在改变人类对地理世界的感知方面的潜力的关注。本文将伪地理置于现代地图学和地理信息系统科学的背景下，通过实证研究，剖析了不存在地貌特征的卫星影像造假的算法机制。为了展示我们在深度假冒检测方面的开创性尝试，提出了一种稳健的方法并进行了评估。我们的前瞻性研究警告说，地理上的深度伪装的出现和扩散，就像地图上的“谎言”一样。我们建议及时检测地理空间数据中的深层虚假信息，并在必要时采取适当的应对策略。更重要的是，鼓励培养关键的地理空间数据素养，从而了解深度虚假地理对个人和人类社会的多方面影响。
ABSTRACT The developing convergence of Artificial Intelligence and GIScience has raised a concern on the emergence of deep fake geography and its potentials in transforming human perception of the geographic world. Situating fake geography under the context of modern cartography and GIScience, this paper presents an empirical study to dissect the algorithmic mechanism of falsifying satellite images with non-existent landscape features. To demonstrate our pioneering attempt at deep fake detection, a robust approach is then proposed and evaluated. Our proactive study warns of the emergence and proliferation of deep fakes in geography just as “lies” in maps. We suggest timely detections of deep fakes in geospatial data and proper coping strategies when necessary. More importantly, it is encouraged to cultivate a critical geospatial data literacy and thus to understand the multi-faceted impacts of deep fake geography on individuals and human society.