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Trustworthy AI by design

Integration of ethical, legal compliance and technical requirements into the entire lifecycle of artificial intelligence systems to ensure they are reliable, safe and compliant.

What it is and why it matters

As regulatory frameworks like the EU AI Act come into force, ensuring that artificial intelligence systems are robust, transparent and compliant is essential. Retrofitting compliance or security safeguards after a system is deployed is often costly, complex and ineffective.

This service, delivered by the Luxembourg Institute of Science and Technology and the Interdisciplinary Centre for Security, Reliability and Trust of the University of Luxembourg, helps organisations increase the maturity of their AI development and testing processes. By embedding ethical, legal and technical safeguards into the AI system from the very start, the "trustworthy by design" approach ensures that AI solutions are reliable, safe, compliant and aligned with human values and fundamental rights. This approach defines processes, controls and evidence collection throughout the AI lifecycle.

How can Luxembourg AI Factory help 

We connect you with Luxembourg's leading research institutions to uplift the maturity of your AI development and testing processes.

Through this service, we help you implement risk management frameworks, impact assessments and production monitoring systems that align with the EU AI Act. This collaborative approach ensures your AI solutions remain compliant and trustworthy over time, reducing regulatory risks and building trust with users and stakeholders.

What you can expect 

  1. Lifecycle risk management and impact assessment 
    Guidance on defining ethical requirements, conducting initial risk assessments during the design phase, and establishing change management mechanisms to support sustainable adoption during deployment.
  2. Technical safeguards and validation 
    Implementation of code-level safeguards, explainable AI methods and rigorous testing for robustness, security vulnerabilities and fairness using diverse, unbiased datasets.
  3. Post-launch monitoring and compliance
    Establishment of mechanisms for ongoing human oversight, real-time auditing, incident response and processes to address model drift, ensuring long-term compliance with the EU AI Act.

Who it is for

This service is intended for startups, SMEs and large companies looking to align their AI development processes with trustworthy principles and regulatory standards. To engage, organisations must provide:

  • A clearly defined use case and access to relevant data
  • Early prototypes of AI models for the target tasks
  • Readiness to engage in a collaborative project (ranging from flexible durations to multi-year R&D projects of three years or more)