AI Hiring Glossary

Predictive Analytics

Predictive Analytics in Employment

Use of statistical models and machine learning to predict future employment outcomes such as job performance, turnover risk, promotion readiness, or hiring success. Predictive models analyze historical data to forecast which candidates/employees will succeed or fail.

Why This Matters for Employers

Predictive analytics substantially assist or determine employment decisions, triggering AEDT requirements. Prediction based on historical data risks perpetuating past discrimination. Attrition prediction and performance forecasting raise profiling concerns under CCPA ADMT.

Related Laws & Regulations

NYC Local Law 144
New York City
Colorado AI Act
Colorado
CCPA ADMT
California
Illinois HRAB
Illinois

Examples in Practice

AI predicting which candidates will be top performers
Machine learning identifying employees at risk of quitting
Algorithms forecasting promotion readiness or leadership potential
Models predicting cultural fit or tenure likelihood

How EmployArmor Helps

Understanding Predictive Analytics is just the first step. EmployArmor helps you implement compliance for all AI hiring regulations.

Compliance Assessment

Find out which laws apply to your AI hiring tools and what you need to do to comply.

Documentation Templates

Get ready-to-use templates for impact assessments, notifications, and audit preparation.