AI, safely and responsibly.

GDPR and Monaco data protection

AI systems must comply with GDPR and Monaco law. This means data minimization, explicit consent, secure storage, and the right to explanation. We build AI systems that respect privacy.

• Minimize personal data collection and retention
• Obtain explicit consent before using customer data for AI
• Implement data security and encryption at rest and in transit
• Provide transparency: explain how AI uses customer data
• Honor data subject rights: access, deletion, portability
• Document compliance: maintain audit trails and impact assessments

Bias, fairness, and accountability

AI systems can inherit biases from training data. We audit for bias, test fairness across demographic groups, and implement safeguards. AI decisions affecting customers must be explainable.

• Audit training data for bias and representation
• Test AI systems across demographic groups for fairness
• Implement human oversight for high-impact decisions
• Provide explanations for AI decisions affecting customers
• Monitor for bias drift over time
• Establish accountability and governance processes

Security and responsible AI

AI systems must be secure, adversarially tested, and robust. Protect against attacks, ensure reliability, and implement responsible AI principles: transparency, accountability, fairness.

• Secure AI models and prevent unauthorized access
• Test AI robustness against adversarial attacks
• Implement rate limiting and input validation
• Monitor for model drift and performance degradation
• Maintain backups and disaster recovery plans
• Follow responsible AI principles: transparency, fairness, accountability