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  "documentTitle": "How nine digital frontrunners can lead on AI in Europe",
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      "text": "EXHIBIT 5: Examples of elements in AI strategy of DF9 countries",
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      "text": "Strategies in the EU often focus on areas of strategic importance, such as core industries or ethics. By contrast, China's strategy emphasizes fast growth across all sectors of its economy and achieving global AI leadership. Most strategies are public sector led but several have been built through public-private partnerships (Exhibit 6). Some, such as the US strategy, are predicated on the private sector taking a leading role.",
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      "text": "AI brings with it the potential for economic and social welfare gains, and various governments are engaged in developing or rolling out strategies. These are also reflections of the challenges presented by AI in relation to, for example, accountability for decisions made by algorithms, data protection, and potential shifts in labor markets.",
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      "text": "The comprehensiveness of government efforts differs across regions. Some offer strategic guidance without a defined roadmap, while others have published detailed initiatives and invested millions or even billions of euros in research and talent development. Finland, for example, offers a free online AI course, Elements of AI, with the goal of teaching 1 percent of the population the basic concepts.",
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      "text": "The European Commission has published a Europe-wide plan aimed at ensuring competitiveness and sharing knowledge. It also recently published a strategy to create a single European market for data and has asked individual countries to develop national AI strategies. However, more than ten countries in the 27-country bloc are still to deliver. In addition to defining country-level priorities, there is broad consensus that cooperation should be increased across Europe to achieve scale benefits.",
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      "text": "1 www.elementsofai.com. Source: National AI strategies; governmental websites",
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