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 ...

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 ...

Over the last year, the ODI has researched how organisations can steward data responsibly. We understand responsible data stewardship to be an iterative, systemic process of ensuring that data is ...

While AI may often seem to exist abstractly in cyberspace, it is also driving major supply chains of both materials and labour. In this report, we focus on the landscape of work and workers behind AI ...

Geospatial data is about places. It might be about a specific building, a river or other natural feature, or a broader location like a city or country. This report summarises the desk research carried ...

As Artificial Intelligence (AI) continues to drive innovation across sectors and advance social good, the demand for well-governed and appropriate data - encompassing diverse formats such as text, ...

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 ...

In October 2024, forty-five leaders from across the ecosystem joined us for an afternoon of intensive discussion about the foundations and future of data and AI. In November 2023, the Open Data ...

From October 2024, the ODI will bring Solid - an open standard developed to give individuals and organisations greater control over their data - into its broader data stewardship activities. The Solid ...