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 three-folded:

Normative advice commissions

Advising on ethical issues that arise in concrete algorithmic practice through deliberative and diverse normative advice commissions, resulting in algoprudence.

Technical tooling

Implementing and testing technical tools to detect and mitigate bias, e.g., synthetic data generation and bias detection tool.

Knowledge platform

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.

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 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

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

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