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 ) [tax_query] => Array (  => Array ( [taxonomy] => keywords [field] => slug [terms] => Array (  => ai-bias ) [operator] => IN ) [relation] => AND ) )
1–12 of 16
David G. Robinson in conversation with Professor Shannon Vallor
The Ada Lovelace Institute is a hiring a Visiting Senior Researcher to undertake a series of projects exploring AI auditing practices.
Normalising the principles of oppression through discriminatory technologies
We are convening experts from policy, industry, healthcare and AI ethics to discuss our recent case study and the future of AIAs.
Seven design challenges for the successful implementation of algorithmic impact assessments
This report sets out the first-known detailed proposal for the use of an algorithmic impact assessment for data access in a healthcare context
BCS Lovelace lecture 2020/21 with Professor Marta Kwiatkowska on probabilistic model checking for the data-rich world
A research partnership with NHS AI Lab exploring the potential for algorithmic impact assessments (AIAs) in an AI imaging case study
Wicked problems in the use of data-driven systems
Developing foundational tools to enable accountability of public administration algorithmic decision-making systems
Joint briefing with Reset, giving insights and recommendations towards a practical route forward for regulatory inspection of algorithms
The failure of the A-level algorithm highlights the need for a more transparent, accountable and inclusive process in the deployment of algorithms.