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National approaches to online harms regulation
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
Algorithmic accountability for the public sector
Learning from the first wave of policy implementation
Supporting AI research ethics committees
Exploring solutions to the unique ethical risks that are emerging in association with data science and AI research
Algorithmic accountability for the public sector
Research with AI Now and the Open Government Partnership to learn from the first wave of algorithmic accountability policy
Algorithmic impact assessment in healthcare
A research partnership with NHS AI Lab exploring the potential for algorithmic impact assessments in an AI imaging case study
Inspecting algorithms in social media platforms: bridging regulators and independent auditors
CRAFT session at the 2021 ACM Conference on Fairness, Accountability, and Transparency
Researcher: Algorithm Auditing and Impact Assessments (Fixed Term Contract)
The Ada Lovelace Institute is hiring a researcher for a project evaluating methods of algorithm auditing and impact assessment.
Regulating for algorithm accountability: global trajectories, proposals and risks
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.
Transparency mechanisms for UK public-sector algorithmic decision-making systems
A review of existing UK mechanisms for transparency, and their contribution to making public information relating to the implementation of algorithmic
Accountability of algorithmic decision-making systems
Developing foundational tools to enable accountability of public administration algorithmic decision-making systems