Blog
Writing, thinking and debating about how data and AI can be made to work for people and society
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Realising the potential of algorithmic accountability mechanisms
Seven design challenges for the successful implementation of algorithmic impact assessments
Making interoperability work in practice: forms, business models and safeguards
Equitable interoperability as a standard
Three proposals to strengthen the EU Artificial Intelligence Act
Recommendations to improve the regulation of AI – in Europe and worldwide
Beyond the regulation of big platforms – supporting different visions for digital ecosystems
An introduction to the Rethinking data programme
From ‘walled gardens’ to open meadows
How interoperability could be the key to addressing platform power
Can computers surprise us?
Why Lady Lovelace’s ‘originality insight’ matters for today’s ‘learning machines’
Otherwises, and the contribution of the arts and humanities to ethical AI
Generative future-making, process and practice as ethical acts
Mobilising the intellectual resources of the arts and humanities
Challenging and redrawing framings of technology to serve human flourishing and justice
Who gets to write the future?
Reimagining policymaking through an anti-racist and creative practice lens
Minding the genomic data gap: COVID-19, genomics and health inequalities
The role of genomics in the data-driven pandemic response
The role of the arts and humanities in thinking about artificial intelligence (AI)
Reclaiming a broad and foundational understanding of ethics in the AI domain, with radical implications for the re-ordering of social power
Turning distrust in data sharing into ‘engage, deliberate, decide’
Five lessons from the GP Data for Planning and Research scheme (GPDPR)