Hiring Agent Compliance Report

This report provides a comprehensive overview of the hiring agent project, its implementation details, and compliance considerations under the EU AI Act. The project implements an AI-powered hiring assistant that helps evaluate job applications against job offers using multiple AI models and evaluation frameworks.

The hiring agent system consists of several key components:

1. Data Collection and Processing

   • Applicant characteristics extraction
   • Job offer analysis
   • Dataset generation and management

2. Model Pipeline

   • Extraction model for parsing applications and job offers
   • Comparison model for evaluating matches
   • Guardrail model for compliance checks
   • Human-in-the-loop review system

3. Evaluation Framework

   • Automated testing
   • Batch evaluation capabilities
   • Performance metrics tracking

The system implements robust data management practices:

1. Dataset Versioning

   • All datasets are versioned using W&B Artifacts
   • Datasets are stored in both W&B and Weave for redundancy
   • Clear lineage tracking between datasets

2. Data Privacy

   • No sensitive personal data is stored permanently
   • Data is processed in compliance with GDPR requirements
   • Clear data retention policies

The project includes both pre-trained and fine-tuned models:

1. Pre-trained Models

   • OpenAI models for extraction and comparison
   • Claude 3.5 Sonnet for advanced reasoning
   • Amazon Nova Lite for cost-effective inference

2. Fine-tuned Models

   • Custom fine-tuned Llama 3.2 3B model
   • Training on specialized hiring datasets
   • Regular model evaluation and updates

The system is designed to comply with the EU AI Act requirements:

1. Transparency Requirements

   • Clear disclosure of AI system capabilities
   • Human oversight mechanisms
   • Explainable decision-making process

2. Risk Management

   • Regular bias assessment
   • Performance monitoring
   • Incident response procedures

3. Data Governance

   • Data quality management
   • Documentation requirements
   • Audit trail maintenance

4. Human Oversight

   • Human-in-the-loop review system
   • Expert review capabilities
   • Appeal mechanisms

The system implements comprehensive monitoring:

1. Performance Metrics

   • Decision accuracy tracking
   • Response time monitoring
   • Resource utilization

2. Quality Assurance

   • Regular model evaluation
   • Bias detection
   • Error rate monitoring

3. Compliance Monitoring

   • Regular compliance checks
   • Audit logging
   • Incident tracking

Planned improvements to enhance compliance and performance:

1. Technical Enhancements

   • Enhanced bias detection
   • Improved explainability
   • Advanced monitoring capabilities

2. Compliance Updates

   • Regular EU AI Act compliance reviews
   • Updated documentation
   • Enhanced audit capabilities

3. Process Improvements

   • Streamlined human review process
   • Enhanced feedback mechanisms
   • Improved incident response