As an Ethics Advisor, I support AI-focused EU research and innovation projects in designing and running their work so that it meets ethical standards, legal requirements and good practices – from data, through models, to deployment. My recommendations are always proportional, pragmatic and grounded in recognised AI ethics standards.
The value I bring
- Regulatory and reputational safety – I systematically review compliance with ethical and legal requirements in the AI context (including GDPR, AI Act and Trustworthy AI principles) and recommend corrective actions where needed.
- Clarity of responsibility – I help define accountability mechanisms within AI projects: who is responsible for what and how remedies can be sought.
- Practical, timely guidance – I provide tailored recommendations suited to AI-related risks and the stage of development, without adding unnecessary bureaucracy.
- Building stakeholder trust – I advise on how to increase transparency in AI model decisions, communicate limitations clearly and address inclusiveness and bias risks.
How I support AI projects
Preparing the Ethics Reports required by the European Commission at reporting periods, ensuring that projects demonstrate compliance and readiness for review.
Supporting the correct creation and regular update of data management plans, with a focus on data quality, governance and legal compliance.
Conducting regular AI ethics and compliance reviews, with clear documentation, evidence of compliance, assessments and forward-looking recommendations.
Providing advisory in key AI-specific areas, such as:
- Human agency and oversight in AI systems
- Technical robustness and safety of AI models
- Privacy and AI data governance
- Transparency and explainability of algorithms
- Fairness and non-discrimination in AI outcomes
- Societal and environmental well-being in AI use cases
- Accountability and auditability of AI systems
Delivering operational guidance for AI development, e.g. explainability methods, data quality management, data governance policies, role definitions for data stewards, training and workshops for project partners.
Actively participating in project work, by joining meetings and contributing directly to decisions and planning.
How AI consortia benefit from my work
Reduced risks, more certainty – partners gain a safe track for AI research and deployment, with clear requirements, evidence of compliance and audit-readiness.
Alignment with EU expectations – AI ethics becomes an integrated part of project governance and communication with stakeholders, including dissemination and impact activities.
Greater trust among users and communities – trustworthiness in AI projects translate into stronger acceptance and long-term credibility of the results.