Paris, France
Description :
This half-day session invites you to explore the ethical challenges and responsibilities associated with AI use in the workplace. Through theoretical frameworks, case studies, and a reflection workshop, you will learn to identify risks (bias, privacy, transparency) and establish a responsible framework for your AI projects.
Learning Objectives:
- Understand the core principles of AI ethics (bias, fairness, transparency).
- Discover the European regulatory framework (GDPR, DSA, AI Act) and its impacts.
- Learn to assess and mitigate ethical risks in an AI project.
- Implement an internal charter and responsible governance processes.
Target Audience:
Managers, project leaders, CSR officers, data leaders, and anyone involved in or overseeing an AI project.
Duration:
**½ day** (9:00–12:30).
Number of Participants:
Maximum 12 participants.
Prerequisites:
No technical prerequisites; a general understanding of AI concepts is a plus.
Schedule:
Morning: Ethics & Governance
- Introduction to AI ethical challenges: bias, discrimination, privacy.
- Overview of regulations (GDPR, AI Act) and best practices.
- Case study analysis: real-world scenarios.
- Collaborative workshop: drafting your AI ethics charter.
Pricing:
- Open enrollment: €400 excl. VAT per participant
- In-house: on request, according to your needs
Methods Employed:
- Interactive presentations
- Case studies and discussions
- Co-creation workshop for the ethics charter
Evaluation:
- Comprehension quiz at the end of the session
- Ethics charter workshop deliverable presentation
Delivery Mode:
Available in-person or via videoconference (Microsoft Teams). A computer with a microphone and camera is required.
Our trainings are accessible to people with disabilities. Please contact accessibility@eurekia-learning.com to arrange accommodations.
Contacts :
- Quality referent: Jihane Khouzaimi (06 69 53 77 75 – contact@eurekia-learning.com)
- Pedagogical referent: Hatim Khouzaimi
Note:
This half-day session provides a solid foundation for deploying your AI projects responsibly and in compliance with regulatory requirements.