Businesses and institutions need professionals who can evaluate AI, curate standards that apply to their enterprises, and implement strategies for complying with applicable laws and regulations. This training teaches critical artificial intelligence governance concepts that are also integral to the AIGP certification exam. While not purely a “test prep” course, this training is appropriate for professionals who plan to certify, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge...
At the end of this training, the trainee will have the skills to :
Any professionals tasked with developing AI governance and risk management in their operations, and anyone pursuing IAPP Artificial Intelligence Governance Professional certification.
Aucun prérequis n’est nécessaire.
Formation uniquement animée en anglais
Introduction
Module 1 : Foundations of artificial intelligence
Defines AI and machine learning, presents an overview of the different types of AI systems and their use cases, and positions AI models in the broader socio-cultural context.
Module 2 : AI impacts on people and responsible AI principles
Outlines the core risks and harms posed by AI systems, the characteristics of trustworthy AI systems, and the principles essential to responsible and ethical AI.
Module 3 : AI development life cycle
Describes the AI development life cycle and the broad context in which AI risks are managed.
Module 4 : Implementing responsible AI governance and risk management
Explains how major AI stakeholders collaborate in a layered approach to manage AI risks while acknowledging AI systems’ potential societal benefits.
Module 5 : Implementing AI projects and systems
Outlines mapping, planning and scoping AI projects, testing and validating AI systems during development, and managing and monitoring AI systems after deployment.
Module 6 : Current laws that apply to AI systems
Surveys the existing laws that govern the use of AI, outlines key GDPR intersections, and provides awareness of liability reform.
Module 7 : Existing and emerging AI laws and standards
Describes global AI-specific laws and the major frameworks and standards that exemplify how AI systems can be responsibly governed.
Module 8 : Ongoing AI issues and concerns
Presents current discussions and ideas about AI governance, including awareness of legal issues, user concerns, and AI auditing and accountability issues.
Conclusion
MODALITES D’ACCES
DELAI D’ACCES
ACCESSIBILITE AUX PERSONNES EN SITUATION D’HANDICAP
FORMULE INTRA-ENTREPRISE
RESSOURCES PEDAGOGIQUES
Date | Lieu | Détails | |
---|---|---|---|
du 14/05/2025 au 15/05/2025 | Paris | les 14 et 15 mai 2025 | Ajouter sélection |
du 14/05/2025 au 15/05/2025 | Distanciel | les 14 et 15 mai 2025 | Ajouter sélection |
du 26/11/2025 au 27/11/2025 | Paris | les 26 et 27 novembre 2025 | Ajouter sélection |
du 26/11/2025 au 27/11/2025 | Distanciel | les 26 et 27 novembre 2025 | Ajouter sélection |
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