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South Korea approved Google’s request to export detailed map data, reversing a longstanding restriction that made the tool largely nonfunctional.
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The rapid evolution and widespread deployment of Artificial Intelligence (AI) necessitate robust standardization to ensure AI systems’ reliability, fairness, and safety. This chapter explores the critical role of data labeling and testing in the global standardization of AI. Accurate data labeling forms the backbone of AI development.
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In the second part of our series on AI and digital security, we examine how LLMs threaten information integrity.
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A new 21-language data set gives African institutions ownership and control in a field long dominated by Big Tech.
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The datafication of healthcare and social welfare services has increased the demand for data care work. Data care work denotes the practical, hands-on labour of caring for data. Drawing on ethnographic material from a data team, this article examines its mundane practices within a wellbeing services county in Finland.
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Public health data in Africa remains fragmented and dispersed across multiple systems that are often not interoperable. This limits the ability of countries and regional institutions to rapidly synthesise information, identify emerging risks and translate data into timely and coordinated public health action. The CDR addresses this challenge by providing a secure and interoperable platform that integrates surveillance, laboratory and programme data from national and regional systems.
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Ministers plan to license content from institutions such as National History Museum and National Library of Scotland
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As the UK government faces pressure to follow suit, evidence on whether the ban is working is still a while away.
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