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Writing, thinking and debating about how data and AI can be made to work for people and society
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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.
Practising data stewardship in India, early questions
How could data stewardship help to rebalance power towards individuals and communities?
Non-personal data: the case of the Indian Data Protection Bill, definitions and assumptions
A non-personal data framework is emerging out of the Indian Data Protection Bill, what are its definitions, rationale and underlying assumptions?
Meaningful transparency and (in)visible algorithms
Can transparency bring accountability to public-sector algorithmic decision-making (ADM) systems?
What does Ada Lovelace mean to you?
Celebrating Ada Lovelace Day 2020 with six women computer scientists.
The Biometrics and Surveillance Camera Commissioner: streamlined or eroded oversight?
When the direction of travel is towards more extensive use of biometrics and surveillance, do we need more or less oversight?
Can digital immunity certificates be introduced in a non-discriminatory way?
New forms of technology are coming. How do we ensure they’re deployed in a way that conforms to equality regulation?
UK contact tracing apps: the view from Northern Ireland and Scotland
What can we learn about successful approaches to COVID-19 technologies from the devolved nations of the UK?
The NHS COVID-19 app: is it an enduring public health technology?
Will the long-awaited contract tracing app deliver on its promises for 2020 and beyond?
Doing good with data: what does good look like when it comes to data stewardship?
Data can help tackle the world’s biggest challenges, if we ask the right questions about governance and apply principles for stewardship.
Should more public trust in data-driven systems be the goal?
To better understand the limits of public trust in data-driven systems, we must acknowledge the role structural inequalities play in shaping trust