Responsible AI

Responsible AI trainer in Lyon

Responsible AI is not a slogan — it is a set of concrete practices. I train your teams to build and use AI that is fair, transparent and trustworthy, turning ethical principles into decisions you can defend.

Why responsible AI is now a business requirement

Biased outputs, opaque decisions, misused data: when AI goes wrong, the damage is reputational, legal and human. Customers, regulators and employees increasingly expect AI to be explainable and fair — and they notice when it isn't.

I make responsibility actionable: spotting and reducing bias, ensuring transparency and human oversight, protecting data and documenting decisions. Ethics stops being a poster on the wall and becomes part of how your teams actually work.

Trust is the real ROI: AI people can trust gets adopted; AI they distrust gets quietly abandoned.

Example training programmes

Formats for responsible AI

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

Principles

Responsible AI in practice

1 dayAll teams

Fairness, transparency, oversight and data protection turned into reflexes.

Bias

Detect and reduce AI bias

1 dayData / project teams

Where bias comes from, how to spot it and how to mitigate it concretely.

Oversight

Human oversight of AI

0.5 dayManagers

Keep humans meaningfully in the loop on AI-supported decisions.

What I can do for you

Beyond training, I support you across your whole project:

  • Audit of your responsible AI practices.
  • Tailor-made training for your teams.
  • Implementation / optimisation support.
  • Guidance on adoption and best practices.

Who it is for

  • Data scientists and AI project teams.
  • Product and decision owners.
  • Compliance, ethics and CSR teams.
  • Executives setting AI principles.

Responsible AI training in Lyon, Paris and Geneva

Based in Lyon (80 Cours du Docteur Long), I deliver on-site across the Auvergne-Rhône-Alpes region, in Paris and Geneva, as well as in Marseille, Bordeaux, Toulouse and Nice — and remotely via virtual classrooms, in English or French.

Frequently asked questions

You may be wondering…

Is responsible AI just ethics talk?
No. We turn principles into concrete checks, roles and documentation your teams can apply.
Where does AI bias come from?
Mostly from data and design choices; we learn to spot and reduce it methodically.
Does it require deep technical skills?
Some formats are for everyone; the bias module suits more technical teams.
How does it link to the AI Act?
Responsible AI practices directly support several AI Act obligations; we connect them.

Explore also

Let's get practical

Build AI you can trust

Tell me about your AI uses: I'll design a tailored responsible AI training.

Get in touch