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BCS Lovelace lecture: Probabilistic model checking for the data-rich world
BCS Lovelace lecture 2020/21 with Professor Marta Kwiatkowska on probabilistic model checking for the data-rich world
Algorithmic impact assessment in healthcare
A research partnership with NHS AI Lab exploring the potential for algorithmic impact assessments 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.
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.