EU AI Act Compliance

Last Updated: February 11, 2026

Introduction

Alfares is fully committed to compliance with the European Union Artificial Intelligence Act (EU AI Act) and all related regulations. As a provider of AI-powered software development services, we ensure that all our AI systems and services comply with the highest European standards for AI safety, transparency, and ethical use.

What is the EU AI Act?

The European Union Artificial Intelligence Act is the world's first comprehensive legal framework for artificial intelligence. It establishes rules for the development, deployment, and use of AI systems within the EU, ensuring that AI is safe, transparent, traceable, non-discriminatory, and environmentally friendly.

Our EU AI Act Commitment

Core Principles

We adhere to the fundamental principles of the EU AI Act:

1. Human Agency and Oversight

• Human Control: We ensure that AI systems remain under human control and oversight
• Human Decision-Making: Critical decisions are made by humans, with AI providing support
• Transparency: Users are informed when they interact with AI systems
• Human Intervention: Mechanisms are in place for human intervention in AI operations

2. Technical Robustness and Safety

• Reliability: Our AI systems are designed to be reliable and perform consistently
• Accuracy: We maintain high accuracy standards and minimize errors
• Security: We implement robust security measures to protect AI systems
• Resilience: Our systems are resilient to attacks and adversarial inputs
• Fallback Plans: We have contingency plans for AI system failures

3. Privacy and Data Governance

• Data Protection: We comply with GDPR and other data protection regulations
• Data Quality: We ensure high-quality training and operational data
• Data Minimization: We collect and process only necessary data
• Data Security: We implement strong data security measures
• Privacy by Design: Privacy considerations are integrated into AI system design

4. Transparency

• AI Disclosure: We clearly disclose when AI is being used
• Explainability: We provide explanations for AI decisions when possible
• Documentation: We maintain comprehensive documentation of AI systems
• User Communication: We communicate AI capabilities and limitations clearly

5. Diversity, Non-Discrimination, and Fairness

• Bias Mitigation: We actively work to identify and mitigate biases in AI systems
• Fair Treatment: We ensure AI systems treat all users fairly
• Diversity: We promote diversity in AI development teams
• Accessibility: We ensure AI systems are accessible to diverse user groups

6. Social and Environmental Well-Being

• Social Impact: We consider the social impact of our AI systems
• Environmental Impact: We minimize the environmental footprint of AI operations
• Sustainability: We promote sustainable AI development practices
• Social Responsibility: We take responsibility for the societal effects of our AI systems

7. Accountability

• Responsibility: We take responsibility for our AI systems and their outcomes
• Auditability: Our AI systems are auditable and traceable
• Compliance Monitoring: We continuously monitor compliance with the AI Act
• Remediation: We have processes for addressing AI system issues

AI System Risk Classification

Prohibited AI Practices

We do not develop or deploy AI systems that:

• Use subliminal techniques to manipulate behavior
• Exploit vulnerabilities of specific groups
• Use social scoring for general purposes
• Use real-time remote biometric identification in public spaces (except for law enforcement with authorization)

High-Risk AI Systems

For high-risk AI systems, we implement:

• Risk Management System: Comprehensive risk assessment and mitigation
• Data Governance: Strict data quality and management practices
• Technical Documentation: Detailed technical documentation
• Record Keeping: Maintenance of logs and records
• Transparency: Clear information for users
• Human Oversight: Appropriate human oversight measures
• Accuracy and Robustness: High standards for accuracy and robustness

Limited Risk AI Systems

For limited risk AI systems (e.g., chatbots), we ensure:

• Transparency: Users are informed they are interacting with AI
• Clear Communication: Clear communication about AI capabilities
• User Control: Users can opt out or request human assistance

Minimal Risk AI Systems

For minimal risk AI systems, we follow:

• Best Practices: Industry best practices for AI development
• Ethical Guidelines: Ethical guidelines for AI use
• Continuous Improvement: Ongoing improvement of AI systems

Our AI Development Practices

AI System Development

• Requirements Analysis: Comprehensive analysis of requirements and risks
• Design Phase: Careful design considering ethical and legal requirements
• Development: Development following best practices and standards
• Testing: Rigorous testing for accuracy, safety, and fairness
• Validation: Validation against requirements and standards
• Documentation: Comprehensive documentation throughout the development process

AI System Deployment

• Pre-Deployment Assessment: Assessment of risks and compliance before deployment
• User Communication: Clear communication with users about AI capabilities
• Monitoring: Continuous monitoring of AI system performance
• Feedback Collection: Collection of user feedback for improvement
• Incident Response: Procedures for handling AI system incidents

AI System Maintenance

• Regular Updates: Regular updates to maintain performance and compliance
• Monitoring: Continuous monitoring of AI system behavior
• Performance Evaluation: Regular evaluation of AI system performance
• Compliance Audits: Regular compliance audits
• Improvement: Continuous improvement based on feedback and monitoring

Compliance Measures

Organizational Measures

• Compliance Team: Dedicated team responsible for AI Act compliance
• Training: Regular training for staff on AI Act requirements
• Policies: Clear policies and procedures for AI development and deployment
• Documentation: Comprehensive documentation of compliance measures
• Audits: Regular internal and external compliance audits

Technical Measures

• Risk Assessment: Systematic risk assessment for all AI systems
• Testing: Comprehensive testing procedures
• Monitoring: Continuous monitoring systems
• Security: Robust security measures
• Data Protection: Strong data protection measures

Transparency Measures

• AI Disclosure: Clear disclosure when AI is used
• Documentation: Public documentation of AI systems where appropriate
• User Communication: Clear communication with users
• Reporting: Regular reporting on AI system performance and compliance

User Rights

Right to Information

Users have the right to:

• Be informed when interacting with AI systems
• Understand how AI systems work
• Access information about AI system capabilities and limitations

Right to Human Review

Users have the right to:

• Request human review of AI decisions
• Challenge AI decisions
• Receive explanations for AI decisions

Right to Non-Discrimination

Users have the right to:

• Fair treatment by AI systems
• Protection against discriminatory AI practices
• Equal access to AI-powered services

Contact Information

For questions about our EU AI Act compliance:

• Email: [email protected]
• Phone: +420 774 287 541
• Address: Cetechovice 70, 768 02, Czech Republic

Updates

This document is reviewed and updated regularly to reflect changes in regulations and our practices. We are committed to maintaining the highest standards of AI Act compliance.

This EU AI Act Compliance statement is effective as of February 11, 2026. For any questions regarding our AI Act compliance, please contact us at [email protected].