Our 4-step audit methodology

Audit methodology

Step 1 – Identifying an issue

Identifying a concrete ethical issue in a real algorithm or data-analysis tool

Step 2 – Problem statement

Description of ethical issue, legal aspects, statistical methodology and hearing stakeholders and affected groups

Step 3 – Advice commission

Deliberative conversation on ethical issue by diverse and inclusive advice commission

Step 4 – Public advice

Advice of commission is published together with problem statement on our website. Publicly sharing the problem statement and normative advice is called algoprudence

Guidelines for convening a normative advice commission

Over the years, we have developed our own deliberative audit methodology. Algorithm Audit’s guidelines for convening a normative advice commission can be consulted in the below document. Get in touch to share feedback about these guidelines.

Algoprudence team

Vardâyani Djwalapersad

Project manager Algoprudence

Jurriaan Parie

Director-board member

Ariën Voogt

Board member

Samaa Mohammad-Ulenberg

Board member

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Building public knowledge for ethical algorithms