Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys

Abstract

The United Nations Agenda 2030 established 17 Sustainable Development Goals (SDGs) as a guideline to guarantee a sustainable worldwide development. Recent advances in artificial intelligence and other digital technologies have already changed several areas of modern society, and they could be very useful to reach these sustainable goals. In this paper we propose a novel decision making model based on surveys that ranks recommendations on the use of different artificial intelligence and related technologies to achieve the SDGs. According to the surveys, our decision making method is able to determine which of these technologies are worth investing in to lead new research to successfully tackle with sustainability challenges.

Artificial Intelligence-Driven Digital Technologies to the Implementation of the Sustainable Development Goals: A Perspective from Brazil and Portugal

“…In this section, we introduce a brief description of AI-Driven DT into the 17 SDGs proposed by the United Nations Agenda 2030 [4] under three dimension perspectives [1,3] and their contributions and barriers to attain the different aspects of each SDG. In a sequence, we present a panorama of Brazil and Portugal and their efforts to achieve SDGs.…”

“…Therefore, AI-driven DT also faces challenges related to fairness, accountability, transparency, and ethics (FATE) for a reliable development, and the aim is to provide robustness to systems to avoid damages, lawfulness required by regulations and laws, and ethicalness to respect freedom, dignity, equality, citizen-rights, or non-discrimination principles [3,13].…”

“…Contributions and barriers for AI-driven DT are evidenced by some authors in the literature [1][2][3]14]; thus, we present in Table 1 a summary of the AI-Driven DT analysis based on the categorization among the SDGs, presented by Palomares et al [1], relating to economy, environmental, and societal aspects. We highlight the economic dimension as sustainability and individual welfare concentration at an economic level, considering the welfare itself and prosperity; at the environmental dimension, safeguarding and preserving the environment, as well as the sustainable management of resources; at the social dimension, a sustainable development regarding welfare, prosperity at the community level, and equality are considered [14,15].…”

“…Artificial Intelligence-Driven (AI-Driven) digital technologies (DT) are intrinsically connected to interact, perceive, and understand people, businesses, economies, and lives in general [1]. The term Artificial Intelligence (AI) can be understood as a general combination and integration of applications with other "DTs" to create machines capable of thinking like humans [1][2][3]. AI-Driven DT economic and societal impacts increase on a continuous basis and more recently they are assuming an important role in the Sustainable Development Goals (SDG) Agenda 2030 [4], and their implementations are a considerable decision for developed and developing countries.…”

Evaluating the digitalization potential of agro-industrial sector of Russia

“…Series: Earth and Environmental Science 935 (2021) 012036 IOP Publishing doi:10.1088/1755-1315/935/1/012036 2 thereby ensuring the achievement of the 17 United Nations Sustainable Goals development (SDGs). Scientists have established the most popular digital technologies for solving these problems -the Internet of Things, explainable artificial intelligence and Big Data [2]. In recent literature, smart technologies are seen as game-changing tools, whereby their integration will benefit three pillars of interrelated areas: sustainable food production, access to clean and safe drinking water, and green energy production and use [3,4].…”