Artificial intelligence (AI) promises opportunities for greater economic efficiency and quality of life around the world, but may also bring new socio-technical challenges and safety risks that ...

Despite broad agreement on the critical importance of data to AI development, attempts to understand and query this data are stilted by poor transparency practices. Recognising the fears of a ‘growing ...

Find out about the seven open-data-stewarding organisations selected to receive guidance and other support from the ODI and Microsoft Global Biodiversity Information Facility (GBIF) Metabrainz ...

There are various tools for assessing different aspects of an open data initiative. Some assess the capabilities of a country or organisation to implement an open data initiative. Others measure the ...

As technology continues to advance, disparities in access to data and information persist, creating a digital divide that hinders social progress and economic development. The data divide focuses on ...

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Join us as we discuss what the National Data Library could mean for archives and collection. Our webinars are open to everyone, but this will be of particular interest to archivists, academics, ...

For governments, local bodies and private institutions, data-driven insights form the bedrock of decision-making. However, fractures develop when individuals and communities are not involved in the ...

The transformative potential of Artificial Intelligence (AI) and Machine Learning (ML) systems continues to impact society, propelled by advancements in Natural Language Processing (NLP) and Computer ...

In this report, we place responsible data amongst other concepts which describe how data should be used. From our research we then develop an interpretation of responsible data stewardship to use in ...

ODI Fellow Janis Wong explores the data governance considerations when working with online learning data This report explores the data governance considerations when working with online learning data, ...

Data is the foundation of AI. Poor quality data drives up costs and can lead to hidden problems for AI, especially in complex fields like healthcare. Meanwhile, biased data negatively affects the ...