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How will approaches to regulation work in practice?
New research highlights lessons learnt from first wave of global policy mechanisms to increase algorithmic accountability in the public sector
The first global study analysing the first wave of algorithmic accountability policy for the public sector
Learning from the first wave of policy implementation
Exploring solutions to the unique ethical risks that are emerging in association with data science and AI research
Research with AI Now and the Open Government Partnership to learn from the first wave of algorithmic accountability policy
A research partnership with NHS AI Lab exploring the potential for algorithmic impact assessments in an AI imaging case study
CRAFT session at the 2021 ACM Conference on Fairness, Accountability, and Transparency
The Ada Lovelace Institute is hiring a researcher for a project evaluating methods of algorithm auditing and impact assessment.
Exploring how we can ensure that algorithmic systems and those deploying them are truly accountable.
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.
A review of existing UK mechanisms for transparency, and their contribution to making public information relating to the implementation of algorithmic
Developing foundational tools to enable accountability of public administration algorithmic decision-making systems