Abstract—Policy-making is an extremely complex process that takes place in complex dynamic environments and affects the three pillars of sustainable development: society, economy and the environment. Every political decision implies some form of social, economic, or environmental impact. Improving decisionmaking in this context can have a huge beneficial impact on all these aspects. There are many artificial intelligence techniques that can play an important role in improving the policy-making process, e.g. decision support systems, optimization, game theory, data and opinion mining, and multi-agent systems. We outline some potential uses of AI technology as it has emerged within the EU-funded FP7 project ePolicy – Engineering the Policy-Making Life-cycle, and we identify some potential research challenges.
Milano, M., O'Sullivan, B., Gavanelli, M. (2014). Sustainable policy making: A strategic challenge for artificial intelligence. AI MAGAZINE, 35(3), 22-35.
Sustainable policy making: A strategic challenge for artificial intelligence
MILANO, MICHELA;
2014
Abstract
Abstract—Policy-making is an extremely complex process that takes place in complex dynamic environments and affects the three pillars of sustainable development: society, economy and the environment. Every political decision implies some form of social, economic, or environmental impact. Improving decisionmaking in this context can have a huge beneficial impact on all these aspects. There are many artificial intelligence techniques that can play an important role in improving the policy-making process, e.g. decision support systems, optimization, game theory, data and opinion mining, and multi-agent systems. We outline some potential uses of AI technology as it has emerged within the EU-funded FP7 project ePolicy – Engineering the Policy-Making Life-cycle, and we identify some potential research challenges.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
