- Consumers rights representation in CEN-CENELEC JTC21 WG3 on Datasets and Bias Management in AI
Artificial Intelligence
This fellowship supports my contribution to two AI standards on behalf of my employing organisation, ANEC (The European Consumer Voice). ANEC's contribution translates consumer protection principles into practical guidance on data quality and bias. The expected medium to long-term impact is to reduce consumer harm arising from poorly managed data sets and biases, supporting equal access, non-discrimination, and fair treatment, particularly for vulnerable consumers. We translated expert guidance into concrete cases to help practitioners understand and address consumer impacts. Collaboration with other civil society representatives consolidated these perspectives within a broader fundamental rights approach.
- New standard development
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This fellowship focuses on standardisation within CEN-CENELEC JTC 21, Working Group 3 on Engineering Aspects. My work focuses on prEN 18283, “Artificial Intelligence - Concepts, measures and requirements for managing bias in AI systems”, and prEN 18284, “Artificial Intelligence - Quality and governance of datasets”.
