AI在全球发展中的PLAYBOOK

Investment Rating - The report emphasizes the importance of responsible AI development and usage in global development, particularly in low- and middle-income countries (LMICs) [6][19]. Core Insights - The report outlines a playbook for leveraging AI to achieve sustainable development goals (SDGs) while addressing associated risks [6][21]. - It highlights the need for multi-stakeholder collaboration to maximize AI benefits and mitigate risks, particularly in LMICs [9][15]. - The report identifies key areas for action, including enhancing AI-related skills, building sustainable digital infrastructure, and ensuring equitable access to data and computing resources [11][12][13]. Summary by Sections Introduction - The report discusses the potential of AI to accelerate progress towards SDGs while acknowledging the risks it poses [6][15]. - It emphasizes the need for a collaborative ecosystem involving various stakeholders to harness AI effectively [15][19]. Executive Summary - The playbook serves as a guide for the U.S. and its partners to promote responsible AI practices globally [7][8]. - It aims to integrate existing research and provide practical recommendations for safe and trustworthy AI deployment [8][9]. Opportunities and Challenges - There is a critical shortage of AI expertise in many LMICs, which hinders the potential benefits of AI for sustainable development [22]. - Investing in responsible AI skills is essential for building a resilient workforce and ensuring equitable distribution of AI benefits [22][23]. Key Recommendations - Enhance capabilities by promoting AI-related skills across all sectors and levels while protecting the workforce [11][22]. - Build trustworthy and sustainable digital infrastructure to improve access to AI technologies [12][13]. - Expand access to data storage and computing resources to support local AI innovations [12][13]. - Create representative local datasets to ensure AI solutions are culturally relevant and effective [12][13]. - Develop strategies to implement AI commitments in practice through rigorous testing and evidence-sharing [12][13]. - Advance good governance frameworks to ensure the safe and rights-respecting development and use of AI systems [12][13]. - Foster trust in AI through openness, transparency, and explainability [12][13]. - Deploy AI for climate action to enhance energy efficiency and contribute to global climate change efforts [13][19].