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  "documentTitle": "How nine digital frontrunners can lead on AI in Europe",
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      "text": "Focus areas could include: Work on best practices for regulatory sandboxes; Contribute to the debate on how to reduce regulatory uncertainty; Formulate requirements around \"explainability\"; Launch public campaigns; Support entities tasked with developing guidelines.",
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      "text": "The DF9 could lead the way in Europe if they: Help establish unified and accessible data platforms to facilitate exchange of data in the private sector; Through a public portal, offer open access to relevant government data across multiple countries.",
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      "text": "An important factor in the adoption of AI is whether underlying digital technologies are in place, because this is the technical backbone for its effective rollout. This is especially true of the availability of data, which is the cornerstone of AI. The DF9 together have significant volumes of data, especially in sectors such as health and education. In addition, Europe boasts a comprehensive data framework that sets out standards for collecting, storing, and accessing data, including the General Data Protection Regulation (GDPR). Yet databases remain fragmented and are governed by a variety of rights of access, which can be an obstacle to innovation.",
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      "text": "Policy makers can have a significant impact on the pace of AI adoption. However, AI presents distinctive regulatory challenges, particularly in relation to cross-border matters. The DF9 could lead the way in Europe on the benefits of proactive and harmonized AI regulation, as well as tech for good, by driving thought leadership on regulation. They are well-positioned due to their small, open economies, history of collaboration, and policy emphasis on safeguards including privacy, fairness, and “explainability.”",
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      "text": "Chapter 5 - Key focus areas for the DF9 to harness the AI opportunity",
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      "text": "1 European Commission, 2020",
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      "text": "Promote data access",
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