Core activities
In 2021, NGO Algorithm Audit was founded on the idea that ethics in algorithmic methods urgently needs a case-based and bottom-up approach. Algorithm Audit’s main activities are four-folded:
Bringing together experts and knowledge to foster the collective learning process on the responsible use of algorithms, see our white papers and public standards.
Advising on ethical issues that arise in concrete algorithmic practice through deliberative and diverse normative advice commissions, resulting in algoprudence.
Implementing and testing technical tools to detect and mitigate bias, e.g., sociotechnical evaluation of generative AI, unsupervised bias detection and synthetic data generation.
Supporting public and private sector organisations with specific questions regarding responsible use of AI, from a not-for-profit perspective.
Team unsupervised bias detection
Part-time team working on unsupervised the bias detection tool
