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Algorithmic impact assessment in healthcare
A research partnership with NHS AI Lab exploring the potential for algorithmic impact assessments (AIAs) in an AI imaging case study.
Why the COVID-19 shielded patient list might both compound and address inequalities
Wicked problems in the use of data-driven systems
Accountability of algorithmic decision-making systems
Developing foundational tools to enable accountability of public administration algorithmic decision-making systems.
Inspecting algorithms in social media platforms
Joint briefing with Reset, giving insights and recommendations towards a practical route forward for regulatory inspection of algorithms
Can algorithms ever make the grade?
The failure of the A-level algorithm highlights the need for a more transparent, accountable and inclusive process in the deployment of algorithms.
Facial recognition technology needs proper regulation – Court of Appeal
The appeal of R (Bridges) v Chief Constable of South Wales shows that, when it comes to facial recognition technology, the status quo cannot continue.
Examining the Black Box
Identifying common language for algorithm audits and impact assessments
International Women’s Day: celebrating the Black women tackling bias in AI
This year’s International Women’s Day theme ‘Each for Equal’ has particular resonance for Black women who experience discrimination.
Facial recognition: defining terms to clarify challenges
Facial recognition technology is a complex area, which means the risk of misunderstandings is high.
Pieces in the puzzle: why we need to convene diverse voices
When it comes to the societal impacts of AI and data, we need to tackle complex problems that don’t necessarily have objective solutions.