Under the AI fir Global Climate Cooperation, researchers at MILA and companies including Google have created a digital testing ground to determine whether new climate policies are acceptable and effective. RICE-N stimulates negotiations by fictitious regions over policies based on the research of Nobel Economist William Nordhaus. The AIs representing the regions use machine learning to see what interactions lead to the best economic and climate outcomes for their region . The aim is for the model to define what mix of incentives, rewards and punishments produce the most progress on the climate through successive, multi-annual negotiations. It is hoped that RICE-N will increase understanding of the behavioral factors in climate cooperation.
