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The United Nations accepted the Sustainable Development Agenda (SDA) of 2030 on September 25, 2015. The document lists 17 Sustainable Development Goals (SDGs) and 169 distinct targets within the goals (Rashed & Shah, 2021). The agenda calls for nations to assume responsibility for actions that sustain the health and well-being of the planet, of humans, and of the economy. Drastic changes are required to attain SDGs by 2030, with artificial intelligence (AI) capable of playing a pivotal part in the attainment of SDG #3 (ensure healthy lives and promote well-being for all at all ages). A consensus-based expert elicitation process demonstrates that sustainability experts see AI as enabling at least 134 (79%) of the 169 targets across all SDGs (Vinuesa, 2020). Heart disease is the leading cause of death across the globe, affecting the lives of roughly 100 million patients in the United States alone (Kagiyama et al., 2019). As developed and developing countries struggle to meet SDGs, data shows that AI algorithms used to predict and prevent disease have influenced goals listed in SDG #3. Algorithms can predict heart disease (Patel et al., 2015) in real time, leading to immediate management or preventative actions. The medical field currently deploys a limited number of AI-based clinical applications (Kagiyama et al., 2019) despite the US Food and Drug Administration approving multiple medical tools with AI features capable of aiding in life-saving clinical decisions (Kagiyama et al., 2019). Cardiologists in particular tend to have access to more patient quantitative data compared to other specialties. Furthermore, research shows that even with limited data input AI outperformed non-AI standard survival models (Popescu et al., 2022). The potential for AI to accelerate innovation that maximizes sustainability is indisputable (Nishant et al., 2020). Data reveals that the vast majority (80%) of CVD-related deaths occur in low- and middle-income countries, making digital medicine a game-changer for patients deprived of live resources (Yan et al., 2019).

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The Role of Artificial Intelligence in Achieving Sustainable Development Goals (SDGs)

  • 动态工具书词条

  • 发表日期：

    2025年

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  • Tanya Clark,
  • Tara Rava Zolnikov,
  • Frances Furio,
  • Natalia D. Salinas,
  • Sydney Dick

摘要

The United Nations accepted the Sustainable Development Agenda (SDA) of 2030 on September 25, 2015. The document lists 17 Sustainable Development Goals (SDGs) and 169 distinct targets within the goals (Rashed & Shah, 2021). The agenda calls for nations to assume responsibility for actions that sustain the health and well-being of the planet, of humans, and of the economy. Drastic changes are required to attain SDGs by 2030, with artificial intelligence (AI) capable of playing a pivotal part in the attainment of SDG #3 (ensure healthy lives and promote well-being for all at all ages). A consensus-based expert elicitation process demonstrates that sustainability experts see AI as enabling at least 134 (79%) of the 169 targets across all SDGs (Vinuesa, 2020). Heart disease is the leading cause of death across the globe, affecting the lives of roughly 100 million patients in the United States alone (Kagiyama et al., 2019). As developed and developing countries struggle to meet SDGs, data shows that AI algorithms used to predict and prevent disease have influenced goals listed in SDG #3. Algorithms can predict heart disease (Patel et al., 2015) in real time, leading to immediate management or preventative actions. The medical field currently deploys a limited number of AI-based clinical applications (Kagiyama et al., 2019) despite the US Food and Drug Administration approving multiple medical tools with AI features capable of aiding in life-saving clinical decisions (Kagiyama et al., 2019). Cardiologists in particular tend to have access to more patient quantitative data compared to other specialties. Furthermore, research shows that even with limited data input AI outperformed non-AI standard survival models (Popescu et al., 2022). The potential for AI to accelerate innovation that maximizes sustainability is indisputable (Nishant et al., 2020). Data reveals that the vast majority (80%) of CVD-related deaths occur in low- and middle-income countries, making digital medicine a game-changer for patients deprived of live resources (Yan et al., 2019).