Ethical Issues of 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.
Ce que vous allez apprendre
- 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.
Prérequis
- Have completed the "Introduction to the fundamental principles of AI" training or have initial knowledge of artificial intelligence technologies.
Public cible
- Professionals who already have a basic knowledge of AI and wish to deepen their skills in managing the ethical issues related to this technology.
Programme de la Formation
3 modules pour maîtriser les fondamentaux
Sujets abordés
- →Impact study and analysis
- →Taking responsibility
- →Supervision by regulatory authority
- →Ensuring continuous improvement
- →Training and awareness
- →Production of documentation
- →Continuous evaluation
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
- 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).
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.
Prochaines sessions
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Nous organisons régulièrement de nouvelles sessions. Contactez-nous pour connaître les prochaines dates disponibles ou pour organiser une session à la date de votre choix.
S'inscrire à une date personnaliséeFormer plusieurs collaborateurs
- Tarifs dégressifs (plusieurs places)
- Session privée ou sur-mesure
- En présentiel ou à distance