Responsible AI

Responsible AI Consultant & Trainer in Geneva

Responsible AI is not a luxury — it is a growing demand from your clients, employees and regulators. I train your Swiss teams to design, deploy and audit AI systems that are fair, transparent and accountable.

Why responsible AI is a business imperative

Bias in AI hiring tools, opaque credit decisions, discriminatory pricing algorithms — the headlines are multiplying. For Swiss organisations, especially in finance and healthcare, the reputational and regulatory risks of irresponsible AI are severe.

I train your teams on the practical dimensions of responsible AI: bias detection and mitigation, explainability techniques, fairness metrics, human-in-the-loop design and documentation standards. Every technique is grounded in real-world examples and applicable to your AI systems.

The training also addresses emerging regulatory requirements: the AI Act's transparency and fairness obligations, nFADP principles and international standards (ISO 42001, OECD AI principles, IEEE frameworks).

Responsible AI is not about saying no — it is about building AI that your stakeholders can trust: that is the goal.

Example training programmes

Responsible AI training formats

Each format is tailored to your level, your sector and your goals.

Principles

Responsible AI fundamentals

1 dayAll AI stakeholders

Ethics, bias, transparency, accountability and regulatory landscape.

Practice

Bias audit & mitigation

1 dayData scientists / AI teams

Bias detection tools, fairness metrics, mitigation techniques and documentation.

Governance

Responsible AI in governance

Half dayCompliance / leadership

Integrate responsible AI into your governance framework, policies and reporting.

What I can do for you in Switzerland

Beyond training, I support you across your whole project:

  • Responsible AI audit of your existing systems.
  • Bias detection and mitigation for your models.
  • Tailor-made training for technical and non-technical teams.
  • Responsible AI policy aligned with nFADP and AI Act.

Who it is for

  • Data scientists and AI teams.
  • Ethics and compliance officers.
  • DPOs and privacy officers.
  • Leadership concerned with reputation and trust.

Responsible AI training in Geneva, Lausanne and Zurich

Based in Carouge (Route des jeunes 47B, Canton of Geneva), I deliver on-site training across French-speaking Switzerland — Geneva, Lausanne, Fribourg, Neuchâtel — as well as in Zurich, Berne and Basel, on-site or via virtual classroom. Quotes available in CHF on request.

Frequently asked questions

You may be wondering…

How do you detect bias?
We use statistical fairness metrics, disaggregated evaluation and specialised tools. Practical workshops use your models where possible.
Is explainable AI mandatory?
The AI Act requires transparency for high-risk systems. Even where not mandatory, it builds trust and aids debugging.
Does responsible AI reduce performance?
Not necessarily — in many cases, debiasing improves generalisation. We show the evidence.
Which frameworks do you cover?
ISO 42001, OECD AI Principles, IEEE Ethically Aligned Design, EU AI Act requirements and Swiss-specific guidance.

Explore also

Let's get practical

Build AI your stakeholders can trust

Tell me about your AI systems and I will design a responsible AI programme for your Swiss organisation.

Get in touch