Inclusive AI governance
Civil society participation in standards development
The rule of trust
Findings from citizens’ juries on the good governance of data in pandemics.
DNA.I.
Early findings and emerging questions on the use of AI in genomics
The data divide
Public attitudes to tackling social and health inequalities in the COVID-19 pandemic and beyond
Under the radar?
Examining the evaluation of foundation models
Making interoperability work in practice: forms, business models and safeguards
Equitable interoperability as a standard
Think. Resist. Act local: is a slow AI possible?
Jeremy Crampton, Professor of Urban Data Analysis at Newcastle University on the three principles that could underpin a more mindful approach to AI.
Expert opinion: Regulating AI in Europe
Four problems and four solutions
Foundation models in the public sector
AI foundation models are integrated into commonly used applications and are used informally in the public sector
How to improve contact tracing apps for future public health crises
Lessons learned from the UK’s response to the COVID-19 pandemic
Working with the CARE principles: operationalising Indigenous data governance
Shifting the focus of data governance from consultation to values-based relationships to promote equitable Indigenous participation in data processes.
The value chain of general-purpose AI
A closer look at the implications of API and open-source accessible GPAI for the EU AI Act