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Content published by the Ada Lovelace Institute is shared under a CC-BY 4.0 license, unless otherwise stated.
The ethical case for data fiduciaries
Trust, vulnerability and trustworthiness, and ensuring that the interests of big tech are aligned with the interests of their users.
Data stewardship: an archival perspective
Archives as datasets? What can we learn from archivists in data preservation and sharing?
Strength in numbers: a case study for building a data-based community in cystic fibrosis
Now, more than ever, data can be used to bring people together as well as numbers.
Ada Lovelace Institute’s JUST AI network announces £40,000 AHRC support for projects addressing racial justice and AI ethics
Grants for projects designed to surface alternative, critical and diverse perspectives on data and AI in relation to racial justice.
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.
Algorithms in social media: realistic routes to regulatory inspection
Establishing systems, powers and capabilities to scrutinise algorithms and their impact.
Inspecting algorithms in social media platforms
Joint briefing with Reset, giving insights and recommendations towards a practical route forward for regulatory inspection of algorithms
Common governance of data: appropriate models for collective and individual rights
From Elinor Ostrom’s design principles for governing the commons to mechanisms that ensure collective and individual data rights: what steps to take?
Health datafication, digital phenotyping and the ‘Internet of Health’
A new report from the Ada Lovelace Institute explores the datafication of health, how it manifests and the consequences for people and society.
What forms of mandatory reporting can help achieve public-sector algorithmic accountability?
A look at transparency mechanisms that should be in place to enable us to scrutinise and challenge algorithmic decision-making systems
The data will see you now
Exploring the datafication of health: what it is, how it occurs, and its impacts on individual and social wellbeing