Mandated access alone does not fill the gap left by truly open research APIs, nor does it address the problems of consistency ...

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 ...

Join our Director of Research Professor Elena Simperl and special guest as they make sense of the noise, scrutinising the boom in AI agents, exploring the landscape of misinformation and ...

Citizen queries are questions asked by an individual about government policies, guidance, and services that are relevant to their circumstances, encompassing a range of topics including benefits, ...

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, ...

The data ethics maturity model is a tool for anyone who collects, uses and shares data. It helps assess and benchmark how widely embedded data ethics culture and practices are across your organisation ...

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 ...

Last month, the ODI launched the AI Data Transparency Index, a new framework to analyse whether model providers were sharing the information needed for meaningful data transparency. With the AIDTI ...

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 ...

Data trusts are an approach to looking after and making decisions about data in a similar way that trusts have been used to look after and make decisions about other forms of asset in the past, such ...

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