What ISO/IEC 24027: Bias and Fairness in AI requires
The mathematical and technical playbook for mitigating human cognitive bias, data bias, and engineering bias through quantitative fairness metrics like demographic parity and equalized odds.
Pillar: AI Governance & Law · Authority: ISO/IEC JTC 1/SC 42 (Artificial Intelligence) · Version: 1.1.0 · Last updated:
Primary source: https://www.iso.org/standard/77607.html
SHA-256 integrity: 77a5b8dacd1102afe32242869f34713cbd0335e815e4eb4ffc21da9dc41e50bf
Primary Citations — 6 traced to source
- ISO/IEC TR 24027: Information technology - Artificial intelligence (AI) - Bias in AI systems and AI aided decision making.
- ISO/IEC TR 24027:2021 §5.2 Human Cognitive Bias: Identifies anchoring, availability, confirmation, and automation bias as primary cognitive sources of AI system bias that must be addressed in design and testing.
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