When using AI in hiring, the needed HR documentation includes logic records (like specific skills, years of experience, or keywords the AI values most when it screens a resume), oversight logs, and bias audits. Companies must maintain files that explain what data the system uses to rank candidates, logs that prove a human reviewed every machine-suggested choice, and annual reports that show the tool treats all protected groups fairly.
Records on how AI works
HR usually writes down which stages use AI, such as when they screen resumes or rank candidates. These notes explain whether the tool makes a choice or just a suggestion. Records also list what the system reads, like keywords or test scores, and what managers see in the results.
Human checks and final choices
Companies often keep records of how people review what the AI suggests. These logs show when a manager ignores an AI’s rank and who makes the final hire. This proof shows that humans maintain final control over who the firm hires.
Fairness and bias checks
HR typically saves files that show they checked the tool for bias. They record how often they look for uneven outcomes across different groups. This helps the firm stay ready for an audit and shows they have safeguards in place, especially in more stringent jurisdictions. For example, New York City expects automated employment decision tools to be submitted to a bias assessment at least annually.
Vendor data and updates
Employers often save descriptions of how the tool works and how it handles private data. It helps to keep a log of every time the vendor updates the model. This version control helps HR know which tool they used for each role.
Records on candidate transparency
Notes show what the firm tells candidates about AI use. This includes the standard words used in ads and guides for managers to explain why they hired a person.
Traceable hiring outcomes
HR teams often keep these records linked to specific job posts. This makes it easy to find data if a dispute happens. The goal is to show what the firm used, how it worked, and who was in charge. Companies typically weigh how these rules fit into the question of whether AI will replace HR as they set your policy.
TL;DR
- Necessary documents include logic records, oversight logs, and bias audits.
- HR keeps logs of how they check for bias and who makes the final hire.
- Traceability helps a company explain its decisions if a dispute comes up.