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Foundation models in the public sector
AI foundation models are integrated into commonly used applications and are used informally in the public sector
Access denied?
Socioeconomic inequalities in digital health services
Public lacks access to, and has concerns about discriminatory impact of, COVID-19 related technologies
Findings from a survey of public attitudes towards a range of technologies deployed during the COVID-19 pandemic for health outcomes
The data divide
Public attitudes to tackling social and health inequalities in the COVID-19 pandemic and beyond
Learning data lessons: data access and sharing during COVID-19
Findings from an expert workshop exploring lessons learned from data-driven initiatives that emerged in response to COVID-19.
Ada’s National Data Strategy consultation response
A summary of the Ada Lovelace Institute's response to the National Data Strategy consultation
Accountability for algorithms: a response to the CDEI review into bias in algorithmic decision-making
Reviewing bias is welcome, and stopping the amplification of historic inequalities is essential.
Rapid, online deliberation on COVID-19 technologies
Rapid, online deliberation with 28 members of the public on COVID-19 exit strategies.
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.
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?
Provisos for a contact tracing app
An update to the COVID-19 rapid evidence review: Exit though the App Store?
Exit through the App Store?
A rapid evidence review of the technical considerations and societal implications of using technology to transition from the first COVID-19 lockdown