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Ada Lovelace Institute curates ‘Ethics & Society’ at CogX 2021
The Ada Lovelace Institute curates a half-day of events at CogX 2021 – the international festival of AI
What we talk about when we talk about biometrics
The first of a three-part exploration of biometric technologies, looking at how we define biometric data, categorise its uses and conceive of its risk
How charting public perspectives can show the way to unlocking the benefits of location data
A review of existing research on public attitudes towards location data and related ethical considerations
Standardised access: the tension between scale and fit
Disability-led access as a lens to rethink the meaning and potential of responsible technology
Networking with care part 1: Mapping ‘justice’
JUST AI aims to integrate and reflect on the many layers and different qualities of map-making, mapping and relationship construction
Building public confidence in data-driven systems
Findings of the Office for Statistics Regulation review into the 2020 exam results algorithm, and why public confidence in data-driven systems matters
Six requirements the UK, and other national governments, must meet before permitting vaccine passports
Requirements that governments and developers will need to deliver in order for any vaccine passport system to deliver societal benefit
Checkpoints for vaccine passports
Requirements that governments and developers will need to deliver in order for any vaccine passport system to deliver societal benefit
JUST AI – Prototyping ethical futures for data and AI
Taking a creative, humanities-led approach to questions of AI ethics
Book launch: Digital Technology and Democratic Theory
How digital technologies shape, reshape and affect fundamental questions about democratic theory and practice
How does structural racism impact on data and AI?
Why we need to acknowledge that structural racism is a fundamental driver and cause of the data divide
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