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.
2014
Michela, Milano; Barry, O'Sullivan; Gavanelli, Marco
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2161212
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