聚焦人工智能用于社会风险预测和解释:基于机器学习的社会风险模型的力量(英)-2026。1. Some advances have been made in forecasting change in social phenomena—such as demographics, poverty levels, or levels of violence. See (among others) Meng and Srihari (2019); Parmigiani et al. (2022).Across all areas, the series highlights cross-cutting issues such as Climate Change, Fragility and Conflict, and Resilience.
聚焦人工智能用于社会风险预测和解释:基于机器学习的社会风险模型的力量(英)-2026。1. Some advances have been made in forecasting change in social phenomena—such as demographics, poverty levels, or levels of violence. See (among others) Meng and Srihari (2019); Parmigiani et al. (2022).Across all areas, the series highlights cross-cutting issues such as Climate Change, Fragility and Conflict, and Resilience.
聚焦人工智能用于社会风险预测和解释:基于机器学习的社会风险模型的力量(英)-2026。1. Some advances have been made in forecasting change in social phenomena—such as demographics, poverty levels, or levels of violence. See (among others) Meng and Srihari (2019); Parmigiani et al. (2022).Across all areas, the series highlights cross-cutting issues such as Climate Change, Fragility and Conflict, and Resilience.
本报告由世界银行发布,发布于 2026 年。
覆盖 2026 年,全文共 24 页。
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