Frameworks for Human-AI Interactions: Models, Experiments, and Policies. This project explores human-algorithm interactions for the designing and implementation of economic and social policies in comp

Description

Frameworks for Human-AI Interactions: Models, Experiments, and Policies. This project explores human-algorithm interactions for the designing and implementation of economic and social policies in complex environments, employing experimental economics and computational economic theory. The specific focus is on differences between policies designed for humans versus robots and variations in human behaviour under each. The project's significance lies in providing insights for adapting and leveraging policies toward more positive economic outcomes in the age of advanced technologies. Through innovative experiments at both the micro and macro policy levels, this research aims to formulate specific advice on optimal policy design for effective outcomes in the evolving realm of human-AI interaction.. Scheme: Discovery Projects. Field: 3801 - Applied Economics. Lead: Prof Mikhail Anufriev