Description

Federal Office for Information Security published white paper on bias in Artificial Intelligence

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.

Original source

Scope

Policy Area
Design and testing standards
Policy Instrument
Testing requirement
Regulated Economic Activity
ML and AI development
Implementation Level
national
Government Branch
executive
Government Body
other regulatory body

Complete timeline of this policy change

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2025-07-24
adopted

On 24 July 2025, the German Federal Office for Information Security (BSI) published a white paper o…