AI Auditing Checklist for EDPB (European Data Protection Board)

June 27th, 2024

Eticas provided technical support for the Support Pool of Experts Programme at the European Data Protection Board (EDPB), an initiative launched at the request of the Spanish Data Protection Agency (AEPD). The resulting methodology was officially published by the EDPB on June 27, 2024.

As part of this work, Eticas contributed an end-to-end socio-technical algorithmic audit (E2ESAT/AA) methodology — a framework for evaluating AI systems across both their technical performance and their social impact. The deliverables also included a practical AI auditing checklist for regulators and organizations to assess algorithmic accountability, a proposal for "AI leaflets" designed to give end users clear, accessible information about how automated systems affect them, and a proposal for algorithmic scores intended to communicate a system's risk or reliability at a glance.

Together, these tools give data protection authorities and the organizations they oversee a shared, repeatable approach to auditing AI systems for compliance and fairness.

Source URL: edpb.europa.eu/our-work-tools/our-documents/support-pool-experts-projects/ai-auditing_en

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