Overview
Checkr is a technology-driven background check platform popular with gig economy companies like Uber, Lyft, and Instacart. Our analysis reveals concerns about AI-powered screening that may introduce algorithmic bias, extensive data collection practices, and broad third-party sharing. While the modern interface improves usability, the underlying terms contain significant limitations on liability and data rights.
Key Concerns
- AI/ML Screening: Uses artificial intelligence for record matching and screening, raising concerns about algorithmic bias and accuracy.
- Gig Economy Focus: High-volume processing for gig platforms may prioritize speed over accuracy.
- Broad Data Collection: Collects extensive personal data including biometrics for identity verification.
- Third-Party Sharing: Data shared with numerous third-party data providers and verification services.
- Limited Liability: Strong liability limitations for inaccurate reports or misidentification.
- Continuous Monitoring: Some products include ongoing monitoring that continuously checks records.
Positive Aspects
- Online Dispute Portal: Modern candidate portal for viewing reports and submitting disputes online.
- Fast Processing: Typically faster turnaround times than traditional providers.
- Fair Chance Features: Tools to help implement fair chance hiring policies.
- FCRA Compliance: Built-in adverse action workflows for FCRA compliance.
Data Collection Summary
Checkr collects personal identifying information, SSN, addresses, and may collect biometric data for identity verification. Background checks access criminal databases, court records, DMV records, employment history, and education verification. AI algorithms process and match records across multiple data sources. Data is retained as required by law and business needs, with continuous monitoring products maintaining ongoing surveillance of records.