Algorithm Audit

I am a member of Algorithm Audit, a Dutch non-profit organization that builds and shares knowledge about responsible and ethical use of algorithms for decision-making. We form independent audit commissions that shed light on ethical issues that arise in concrete use cases of algorithmic tools and methods. These audit commissions comprise academics from diverse areas such as the legal disciplines, the data sciences, and the humanities as well as public policy-makers and practitioners working at technology companies, research organizations and think tanks. We thereby help organizations committed to ethical algorithms make judgments about fairness and ethics beyond the requirements of legal compliance. All of our cases and corresponding advice are made publicly available. We also give talks and hold seminars at universities and participate in conferences and policy convenings.

Our public Bias-Scan tool is finalist in the AI Audit Challenge at Stanford HAI and the Cyber Policy Center at Freeman Spogli Institute and Stanford Law School at Stanford University.