TY - JOUR
T1 - Sustainable policy making
T2 - A strategic challenge for artificial intelligence
AU - Milano, Michela
AU - O'Sullivan, Barry
AU - Gavanelli, Marco
N1 - Publisher Copyright:
Copyright © 2014, Association for the Advancement of Artificial Intelligence. All rights reserved.
PY - 2014/9/1
Y1 - 2014/9/1
N2 - Policy making is an extremely complex process occurring in changing environments and affecting the three pillars of sustainable development: society, economy and the environment. Each political decision in fact implies some form of social reactions, it affects economic and financial aspects and has substantial environmental impacts. Improving decision making in this context could have a huge beneficial impact on all these aspects. There are a number of Artificial Intelligence techniques that could play an important role in improving the policy-making process such as decision support and optimization techniques, game theory, data and opinion mining and agent-based simulation. We outline here some potential use of AI technology as it emerged by the European Union (EU) EU FP7 project ePolicy: Engineering the Policy Making Life Cycle, and we identify some potential research challenges.
AB - Policy making is an extremely complex process occurring in changing environments and affecting the three pillars of sustainable development: society, economy and the environment. Each political decision in fact implies some form of social reactions, it affects economic and financial aspects and has substantial environmental impacts. Improving decision making in this context could have a huge beneficial impact on all these aspects. There are a number of Artificial Intelligence techniques that could play an important role in improving the policy-making process such as decision support and optimization techniques, game theory, data and opinion mining and agent-based simulation. We outline here some potential use of AI technology as it emerged by the European Union (EU) EU FP7 project ePolicy: Engineering the Policy Making Life Cycle, and we identify some potential research challenges.
UR - https://www.scopus.com/pages/publications/84907606214
U2 - 10.1609/aimag.v35i3.2534
DO - 10.1609/aimag.v35i3.2534
M3 - Article
AN - SCOPUS:84907606214
SN - 0738-4602
VL - 35
SP - 22
EP - 35
JO - AI Magazine
JF - AI Magazine
IS - 3
ER -