About this session本讲介绍
The second session asks how lived experience, place, and care can guide GeoAI. This session puts those ideas to work: what can they reveal when AI generates geographical representations or learns repeatedly from synthetic data? Focusing on Deepfake Geography and connecting it to GeoAI Collapse and posthuman cartography, we examine how geographical representation, place differences, and knowledge production are being reshaped. We consider how critique can generate new geographical knowledge and help us rethink responsibility in relations between people, models, and places.第二讲讨论生活经验、地方与关怀如何引导 GeoAI；本讲进一步将这些思想用于审视具体技术实践：当 AI 生成地理表征，或反复从合成数据中学习时，这些视角能帮助我们看见什么？以 Deepfake Geography 为重点，连接 GeoAI Collapse 与 posthuman cartography，我们将检视地理表征、地方差异与知识生产如何被重塑，并讨论批判如何产生新的地理认识，以及如何重新思考人、模型与地方之间的责任关系。
Questions for discussion讨论重点
- What happens to place differences when synthetic geospatial data are repeatedly reused?当合成地理空间数据被反复使用时，地方差异会发生什么变化？
- How does treating mapping as a relationship between human and nonhuman actors change responsibility?把制图理解为人类与非人类行动者之间的关系，会如何改变责任的分配？