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AI Governance Professional Training

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...

  • 2 jour(s) - 14 Heures
  • Distanciel Présentiel
  • RGPDAIGP

Objectifs

At the end of this training, the trainee will have the skills to :

  • How to develop, integrate and deploy trustworthy AI systems in line with emerging laws and policies
  • Pursuing IAPP Artificial Intelligence Governance Professional certification

Public

Any professionals tasked with developing AI governance and risk management in their operations, and anyone pursuing IAPP Artificial Intelligence Governance Professional certification.

Pré-requis

Aucun prérequis n’est nécessaire.

Programme

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

Informations

MODALITES D’ACCES

  • Accessible à distance, en présentiel et en elearning

DELAI D’ACCES

  • La durée estimée entre la demande du stagiaire et le début de la formation est de 7 jours (peut être raccourci pour le mode distanciel)

ACCESSIBILITE AUX PERSONNES EN SITUATION D’HANDICAP

  • Accessible à distance pour les personnes à mobilité réduite
  • Pour connaître l’accessibilité aux salles de formation, vous pouvez nous joindre au +33 3 87 62 06 00

FORMULE INTRA-ENTREPRISE

  • Contactez-nous

RESSOURCES PEDAGOGIQUES

  • Adhésion IAPP 12 mois + inscription à l’examen incluses
  • Cours théorique
  • Exemples concrets
  • Support de cours disponible sur votre compte personnel IAPP
  • Outil distanciel : Teams

Nos sessions pour cette formation

Date Lieu Détails
du 04/11/2024 au 14/11/2024 Paris Les 4, 6, 12 et 14 novembre 2024
De 13h à 16h30
Ajouter sélection
du 11/12/2024 au 12/12/2024 Paris 11-12 décembre 2024 Ajouter sélection

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