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:
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., synthetic data generation and bias detection tool.
Bringing together experts and knowledge to foster the collective learning process on the responsible use of algorithms, see for instance our AI policy observatory, white papers and op-eds.
Support for specific questions from public and private sector organisations regarding responsible use of AI
Executive team
Team coordinating the different activities of Algorithm Audit
Jurriaan Parie
Director-board member
Vardâyani Djwalapersad
Project manager Algoprudence
Executive team
Jurriaan Parie
Director-board member
Vardâyani Djwalapersad
Project manager Algoprudence
Bias detection tool cohort
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
Bias detection tool cohort
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
Synthetic data generation cohort
Part-time team working on synthetic data generation for AI bias testing
Emmanuel Menvouta PhD
Machine Learning Engineer, Dataroots
Ellen Bogaards
MSc Artifical Intelligence, Utrecht University
Godwin Acheampong
Data Scientist, Budget Thuis
Sonja Babac
PhD-candidate, Technical University Eindhoven – Philips MedTech
Joel Persson PhD
Research Scientist, Spotify
