On 24 July 2025, the German Federal Office for Information Security (BSI) published a white paper on bias in Artificial Intelligence (AI). The paper applies to developers, providers, and operators of AI systems across all sectors. The paper highlights practices including designating bias-responsible personnel, implementing organisational and technical measures during data collection to reduce bias, and prioritising pre-processing and in-processing mitigation methods over post-processing approaches. It also establishes continuous bias detection and mitigation as an ongoing process throughout AI model lifecycles. The paper details 11 bias types, including historical bias and automation bias, and provides detection methodologies using fairness metrics and statistical analysis. It also outlines 13 mitigation techniques spanning pre-processing to post-processing approaches and emphasises bias as a cybersecurity risk affecting confidentiality, integrity, and availability.
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