Candidate Consent
What is candidate consent?
Candidate consent means a candidate has been informed about, and agreed to, how their personal data will be collected, used, and stored during hiring. It is a cornerstone of responsible, compliant recruiting.
Why it matters
US privacy laws, including CCPA/CPRA and other state laws, give candidates rights over their data. Clear notice and consent build trust, reduce compliance risk, and set expectations about how information will be used.
Benefits of Candidate Consent
- Greater candidate trust.
- Lower compliance risk.
- Clear expectations about data use.
- Easier handling of access and deletion requests.
Key parts of candidate consent and notice
- Notice at collection: what data is collected and why.
- Purpose limits: using data only for stated hiring purposes.
- Retention: how long data is kept.
- Sharing: who else receives the data, such as service providers.
- Rights: how candidates can access, correct, or delete data where the law allows.
What good consent looks like
Candidates should get clear, plain-language notice of what data is collected, why, how long it is kept, and who it is shared with. They should also know how to access or delete their data where the law gives them that right.
How to manage candidate consent step by step
- Step 1: Map what candidate data you collect and where it goes.
- Step 2: Write a plain-language candidate privacy notice.
- Step 3: Present the notice before or at collection.
- Step 4: Collect only what the hiring process needs.
- Step 5: Set up a process for access and deletion requests.
- Step 6: Review notices when laws or tools change.
Notice vs. consent
| Notice | Consent | |
|---|---|---|
| What it is | Telling candidates how data is used | Candidates agreeing to a use |
| When required | Commonly at collection under state privacy laws | For certain uses or where laws require it |
Example
Before applying, a candidate sees a short privacy notice explaining how their resume and assessment results will be used and stored. Later, they ask to access their data, and the employer responds within the required time.
Another example: a candidate emails asking what data an employer holds about them. Because the employer keeps records on one candidate record, it can respond accurately and on time.
Best practices for candidate consent
- Use plain language, not legal jargon.
- Collect only data you need for hiring.
- Explain AI use in simple terms.
- Honor access and deletion requests promptly.
Common mistakes to avoid
- Burying notices in long terms.
- Collecting unnecessary personal data.
- Keeping data indefinitely.
- Losing track of where data is stored.
Key takeaways
- Candidate consent means candidates understand and agree to data use.
- US state privacy laws give candidates rights over their data.
- uRecruits masks personal details before AI steps and supports CCPA/CPRA rights.
How uRecruits approaches it
uRecruits is designed to handle candidate data responsibly. Personal details are masked before any AI step, data is processed on US-based infrastructure, and candidates have CCPA/CPRA access and deletion rights.
Responsible by design
uRecruits is developing a company-funded Responsible AI Program (RAP) to formalize explainable scoring, human authority over decisions, external bias auditing, and a published decision-log approach. RAP is in active development and is described by its current status, not as a completed certification.
This topic carries legal and compliance implications. The information here is general and US-focused. Verify against authoritative sources such as the EEOC and the U.S. Department of Labor, and consult employment counsel before acting.
