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 decision- making 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.
Sustainable Policy Making: A Strategic Challenge for Artificial Intelligence
GAVANELLI, Marco
2014
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 decision- making 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 SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.