Array ( [s] => [posts_per_page] => 12 [meta_key] => sb_post_date [order] => DESC [orderby] => meta_value [paged] => 1 [post_type] => Array (  => page  => blog-post  => evidence-review  => feature  => job  => media  => news  => press-release  => project  => report  => summary  => survey  => toolkit  => event ) [meta_query] => Array (  => Array ( [relation] => OR  => Array ( [compare] => LIKE [key] => author [value] => "4779" )  => Array ( [compare] => LIKE [key] => contributing_author [value] => "4779" )  => Array ( [compare] => LIKE [key] => project_lead [value] => 4779 )  => Array ( [compare] => LIKE [key] => project_members [value] => "4779" ) ) [relation] => OR ) )
1–8 of 8
Early findings and emerging questions on the use of AI in genomics
Assessing and mitigating risks across the AI lifecycle
A nationally representative survey of public attitudes to artificial intelligence in Britain
Exploring solutions to the unique ethical risks that are emerging in association with data science and AI research.
Data-driven systems and inequalities in health and social care
This report sets out the first-known detailed proposal for the use of an algorithmic impact assessment for data access in a healthcare context
Why we need to acknowledge that structural racism is a fundamental driver and cause of the data divide
Establishing mechanisms and methods for regulatory inspection of algorithmic systems, sometimes known as 'algorithm audit'.