Intermediate · Safety

Bias (ethical)

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. Systematic, unfair model behavior that disadvantages particular groups of people.

Technical Definition

Systematic, unfair model behavior that disadvantages particular groups of people.

How it works

Ethical bias arises from biased training data, biased labels, biased problem framing, or biased deployment. It can produce discriminatory outcomes in hiring, lending, healthcare, and policing. Mitigation requires diverse data, fairness metrics, audits, and ongoing monitoring — not a one-time fix.

Related Concepts

• Explainability (XAI) — Techniques making AI decisions understandable to humans, crucial for trust and regulatory compliance.
• AI Safety & Alignment — The field ensuring AI systems behave as intended, remain under human control, and avoid unintended harm.
• Fairness — The principle that AI systems should treat individuals and groups equitably.