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Bias (in AI Systems)
Intro
Bias in AI systems is structural, not intentional.
1. What is it?
Bias refers to systematic skew in AI outcomes.
2. What problem does it claim to solve?
Recognition of bias aims to improve fairness and accuracy.
3. Where does it typically appear in organisations?
HR tools, credit models, risk assessments.
4. What can go wrong if it is misunderstood or misused?
Reputational and legal risks may arise.
5. Who is accountable, and what oversight is required?
Management must monitor bias; boards must oversee ethical exposure.
IFRS Synonyms:
Bias