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The role of artificial intelligence in achieving the Sustainable Development Goals
Ricardo Vinuesa1, Hossein Azizpour2, Iolanda Leite2
1Linné FLOW Centre, KTH Mechanics, SE-100 44, Stockholm, Sweden. rvinuesa@mech.kth.se.
Artificial intelligence (AI) can significantly aid Sustainable Development Goals, enabling 134 targets. However, AI may also hinder 59 targets, necessitating careful regulation for ethical and safe implementation.
Area of Science:
- Technology and Sustainable Development
- Artificial Intelligence Ethics
- Global Policy
Background:
- Artificial intelligence (AI) is rapidly advancing across sectors, necessitating an evaluation of its impact on global sustainability objectives.
- The Sustainable Development Goals (SDGs) provide a framework for global progress, but the integration of AI presents both opportunities and challenges.
- Existing research often overlooks critical aspects of AI's influence on sustainable development.
Purpose of the Study:
- To assess the multifaceted impact of artificial intelligence on the achievement of all Sustainable Development Goals.
- To identify specific targets within the SDGs that can be enabled or inhibited by AI technologies.
- To highlight the need for regulatory frameworks to guide AI development for sustainable outcomes.
Main Methods:
- A consensus-based expert elicitation process was employed to gather insights from specialists.
- The study systematically analyzed the potential positive and negative effects of AI across all 17 SDGs.
- A review of current research foci was conducted to identify overlooked areas.
Main Results:
- Artificial intelligence has the potential to enable the accomplishment of 134 specific targets across the Sustainable Development Goals.
- Conversely, AI may also inhibit the achievement of 59 targets, indicating a dual impact.
- Current research trends in AI do not adequately address crucial aspects relevant to sustainable development.
Conclusions:
- AI presents a significant opportunity for advancing sustainable development but requires strategic management.
- The potential negative impacts of AI on development targets necessitate proactive mitigation strategies.
- Robust regulatory insight and oversight are crucial for ensuring AI technologies support, rather than hinder, the Sustainable Development Goals, addressing gaps in transparency, safety, and ethics.
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