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Rapid, online deliberation on COVID-19 technologies
Rapid, online deliberation with 28 members of the public on COVID-19 exit strategies.
Our strategy 2019-2020
Public understanding, ethical guidance and legal frameworks have not kept up with the development of data-driven and AI technologies.
Exploring principles for data stewardship
An open set of case studies exploring principles for data stewardship.
No green lights, no red lines
Lessons to assist Government and policymakers navigating difficult dilemmas when deploying data-driven technologies to manage the pandemic
Reinventing online platforms: is the new EU regulatory package enough?
Without mandatory interoperability, will the Digital Markets Act and Digital Service Act be enough to reset the rules for big tech?
Ryder Review Advisory Board
Independent Advisory Board of specialists in law, ethics, technology, criminology, genetics and data protection advising on the Ryder Review.
Regulatory inspection of algorithmic systems
Establishing mechanisms and methods for regulatory inspection of algorithmic systems, sometimes known as 'algorithm audit'.
Accountability of algorithmic decision-making systems
Developing foundational tools to enable accountability of public administration algorithmic decision-making systems.
Delivering responsible data through the National Data Strategy
Examining how the commitment to responsible data in the UK's National Data Strategy could be realised and what it misses.
Participatory data governance
Enabling a participatory approach to data use, access, sharing and governance where beneficiaries can control and oversee the use of their data.
Tackling health and social inequalities in data-driven systems
Research to examine the interaction between data-driven systems and health and social inequalities, in the wake of COVID-19.
Boundaries of health data
Exploring how the datafication of health occurs and what consequences it has for people and society.