Interactions of Human and Machine Intelligence in Modern Economic Systems

大部分现代经济系统都是由大规模快速发生的机器-机器和机器-人交互驱动的。但这种互动往往是不透明的，可能会产生负面或灾难性的后果，例如金融交易中没有明显经济原因的市场暴跌、宣扬极端主义的内容推荐、零工经济中的算法导致工人剥削和资源浪费。该项目旨在在计算经济学，博弈论和动态系统的交叉点上获得新的理论成果和算法，建立经济系统稳定的条件，提出使相互作用更加公平，透明并符合人类价值观的机制。

Much of modern economic systems are driven by machine-machine and machine-human interactions that happens rapidly at large scale. But such interactions are often opaque and can have negative or catastrophic consequences, such as market plunges with no apparent economic reasons in financial trading, content recommendations that promote extremism, algorithms in gig economy leading to worker exploitation and wasted resources. This project aims for new theoretical results and algorithms at the intersection computational economics, game theory, and dynamical systems, that establish conditions under which the economic systems are stable, propose mechanisms that make the interactions more fair, transparent and aligned with human values.