When developing AI models, developers must be aware of the inherent bias in not only humans, but in statistical and systematic data. NIST has met this head-on and has addressed this in the NIST SP 1270 titled Towards a Standard for Identifying and Managing Bias in Artificial Intelligence.

Figure 14.4 – AI bias10

There are three types of bias:

• Systematic
• Statistical
• Human

Systematic bias

Systematic biases are pervasive in historical, societal, and institutional norms. Systemic biases are ingrained imbalances that arise from the established protocols and customary practices within institutions, leading to the preferential treatment of certain societal groups while others face disadvantages or undervaluation. These biases can exist without deliberate intent to discriminate; they often manifest simply because the majority adheres to longstanding rules or norms. Examples of such systemic biases...