The Contributions of Artificial Intelligence in Achieving Sustainable Development Goals: Indonesia Case

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Abstract

Sustainable Development Goals (SDG) have been adopted by all United Nations Member states in 2015. There are 17 Global Goals where one goal to another is interrelated and they have to go hand-in-hand. The essential of the goals is to increase the people's quality of life all over the world. Every country has been pacing to achieve all goals by conscripting all national resources as well as all capabilities and masteries of the technology such as Artificial Intelligence (AI). To achieve SDG's goals, there has to be a guidance that guide all resources to have the same perspective and mind-set to what should have to be carried out not only in the short time but also in the medium and the long one. AI is believed can deliver solutions to most of Global Goals such as food security including life below water, water security, and energy security, increase the quality of health service, support the establishment of smart nation, and the most of them is AI has become a leveraging factor of a country's economy. Therefore, many countries have determined the action in utilizing AI for the good to their country and people by developing AI national strategy. In this paper, Indonesian initiative in form of a National Strategy for Artificial Intelligence will be delivered in a concise manner. The deliverables include four focus areas as the basis for AI ecosystem as well as the priorities of the AI usage for supporting Indonesia to achieve its national interests as well as the world goals through SDGs. We also deliver Indonesia's innovation in utilizing AI technology to cope with global pandemic which one of the technologies used is an Indonesian-original AI technology called Knowledge Growing System (KGS).

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Wahyudi Sumari, A. D. (2020). The Contributions of Artificial Intelligence in Achieving Sustainable Development Goals: Indonesia Case. In IOP Conference Series: Materials Science and Engineering (Vol. 982). IOP Publishing Ltd. https://doi.org/10.1088/1757-899X/982/1/012063

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