🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
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AI Ethics Training - Master Responsible AI

Explore the crucial ethical issues of Artificial Intelligence and learn to integrate a responsible approach into your AI projects. This in-depth training will allow you to understand the fundamental principles of AI and their implications for individual and institutional ethics. You will develop a critical vision of AI by becoming aware of its limits, while acquiring the necessary skills to identify and mitigate algorithmic biases and transparency problems. You will also explore the environmental challenges related to AI and strategies to minimize its ecological impact. Through practical workshops and case studies, you will learn to integrate ethics into your strategic thinking around AI and to lead ethical AI projects, in compliance with current regulations.

WEnvision
✓ Official training WEnvisionLevel Intermediate⏱️ 1 day (7h)

What you will learn

  • Understand the fundamental principles of AI and their implications for individual and institutional ethics.
  • Develop a critical vision of AI by becoming aware of its limits.
  • Acquire the necessary skills to identify and mitigate algorithmic biases and transparency problems.
  • Explore the environmental challenges related to AI and strategies to minimize its ecological impact.
  • Integrate ethics into strategic reflections around AI.
  • Lead ethical AI projects, compliant with current regulations.
  • Become a key player in responsible AI.

Prerequisites

  • Have completed the "Introduction to the fundamental principles of AI" training or have initial knowledge of artificial intelligence technologies.

Target audience

  • Professionals who already have a basic knowledge of AI and wish to deepen their skills in managing the ethical issues related to this technology.

Training Program

3 modules to master the fundamentals

Topics covered
  • →Impact study and analysis
  • →Taking responsibility
  • →Supervision by regulatory authority
  • →Ensuring continuous improvement
  • →Training and awareness
  • →Production of documentation
  • →Continuous evaluation
Objectives
  • Strengthen the understanding of AI by bringing out concrete examples of application in the candidates' own professional fields.
Topics covered
  • →Reflection on professional irritants to be presented to the group.
  • →Proposal of a solution based on AI or generative AI for each identified irritant.
Objectives
  • Raise participants' awareness of biases in data and lead them to develop skills to identify them.

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Upcoming sessions

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We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.

Register for a custom date

Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

Frequently Asked Questions

It is recommended to have completed the "Introduction to the fundamental principles of AI" training or to have initial knowledge of artificial intelligence technologies. This level 200 training is aimed at professionals with an existing AI foundation.
This training is designed for professionals who already have a basic knowledge of AI and wish to deepen their skills in managing the ethical issues related to this technology.
The training covers best practices for conducting ethical AI projects (impact studies, responsibility, regulatory supervision), identifying and mitigating algorithmic biases, environmental challenges of AI, and integrating ethics into strategic AI reflections.
Yes, the training includes an ideation workshop where participants identify professional irritants and propose AI-based solutions, as well as a biased data analysis workshop to develop skills in identifying biases.
The AI Fundamentals training provides an overview of the AI ecosystem (concepts, actors, use cases). This Ethical Issues of AI training is level 200 and focuses specifically on responsibility, bias, transparency, regulatory compliance, and environmental impact.
Our training organizations SFEIR SAS and SFEIR-Est are Qualiopi certified for training activities, which allows you to request funding from your OPCO. Funding approval remains at your OPCO's discretion. Contact us for a quote.

790€ excl. VAT

per learner

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