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.
Executive team
Full-time team coordinating the different activities of Algorithm Audit
Jurriaan Parie
Director-board member
Ylja Remmits
Head of Projects
Legal experts
Part-time team working on human rights and data privacy challenges
Ioanna Papageorgiou
Doctoral researcher AI Fairness & Privacy, University of Hannover
Laurens Naudts
Postdoctoral researcher AI, Media and Democracy Lab, University of Amsterdam
Team unsupervised bias detection
Part-time team working on unsupervised the bias detection tool
Kirtan Padh
PhD-candidate Causal Inference and Machine Learning, TU München
Mackenzie Jorgensen
PhD-candidate Computer Science, King’s College London
Krsto Proroković
PhD-candidate, Swiss AI Lab IDSIA
Floris Holstege
PhD-candidate Machine Learning, University of Amsterdam
Joel Persson PhD
Research Scientist, Spotify
