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Good AI for Good: How AI Strategies of the Nordic Countries Address the Sustainable Development Goals
Andreas Theodorou, Juan Carlos Nieves, Virginia Dignum
October 8, 2022
AiOfAi@IJCAI
2 citations
Key Takeaways
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AI strategy documents largely ignore the SDGs: An analysis of AI recommendations from 10 countries and organizations found "no significant difference" in how much these documents reference the UN's Sustainable Development Goals, despite AI's potential to contribute to global sustainable development.
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Nordic countries are not leading on SDG integration: Despite their reputation for strong commitment to the SDGs and high global rankings on sustainability, the Nordic countries' AI strategies do not meaningfully differ from other nations in connecting AI policy to sustainable development goals.
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Critical gaps in gender equality and inequality: The analysis reveals that references to gender equality (SDG 5) and inequality (SDG 10) are "notably missing" from AI guidelines, suggesting that responsible AI frameworks are not adequately addressing how AI systems might perpetuate or worsen discrimination and social disparities.
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Environmental impact of AI is overlooked: AI strategy documents fail to adequately address the environmental consequences of AI development and use, including impacts on "life on earth," indicating a significant blind spot in how responsible AI is currently being framed by policymakers.
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Responsible AI frameworks need stronger alignment with sustainability: The paper suggests that existing trustworthy AI guidelines and recommendations should be redesigned to explicitly connect AI governance to sustainable development priorities, particularly around equity and environmental protection.