Data
Present
Distanciel
E-learning
IT and Cybersecurity
Data Training
Tax & Legal
Formations IA
Formations Conformité
Regulatory framework for artificial intelligence
Decrypt the regulatory framework of AI
Key information
Prerequisites
- Have legal training
Target audience
- Lawyers
- Legal Managers
- Risk Managers
- Strategic and Compliance Directors
Educational objectives
- Understand the issues and risks of AI
- Understand the expectations of the various texts and their rationale
- Secure the compliance and use of your AI tools legally
- Secure the compliance and use of your input (training, test, and validation data) and output data legally
Training description
Explore the legal, ethical, and regulatory issues of artificial intelligence and prepare your organization to navigate a constantly evolving landscape.
Educational and technical means
Educational means
Educational processes
- Training with theoretical contributions
- Discussions on the contexts of the trainees and feedback from consultant trainers
Evaluation methods
- Assessments of acquired knowledge via questionnaire at the end of each chapter
- Self-assessment of the trainee through the needs analysis form sent before the training
- Evaluation at the end of the training
Technical means
-
Digital training materials
In-person
- Training room equipped with a whiteboard and projector
- Provision of supplies (pens, notepads, etc.)
Remote
- Access to training via the Teams application
Supervision means
- Expert lawyers in IT law and personal data
- DPO competence certification by AFNOR on delegation from CNIL