论文标题
小组：使用AI的大流行期间的经济政策和治理
Panel: Economic Policy and Governance during Pandemics using AI
论文作者
论文摘要
全球粮食供应链（从农场开始，以消费者的结尾）被许多异常事件（例如贸易战争，中国要求震惊，自然灾害和大流行者）严重破坏。除中间政策响应以减轻其不良影响外，异常事件除了介入政策响应外，还会沿整个供应链产生不确定性。人工智能（AI）方法（即机器/增强/深度学习）通过识别常规，不规则和上下文组件，为在异常事件期间更好地理解结果提供了机会。雇用AI可以为决策供应商，农民，加工商，批发商和零售商提供指导，并在供应链上以及政策制定者促进福利改善成果。该小组讨论了这些问题。
The global food supply chain (starting at farms and ending with consumers) has been seriously disrupted by many outlier events such as trade wars, the China demand shock, natural disasters, and pandemics. Outlier events create uncertainty along the entire supply chain in addition to intervening policy responses to mitigate their adverse effects. Artificial Intelligence (AI) methods (i.e. machine/reinforcement/deep learning) provide an opportunity to better understand outcomes during outlier events by identifying regular, irregular and contextual components. Employing AI can provide guidance to decision making suppliers, farmers, processors, wholesalers, and retailers along the supply chain, and policy makers to facilitate welfare-improving outcomes. This panel discusses these issues.
