Generative AI (GenAI) is transforming the way we work and interact with technology. However, it also introduces challenges in terms of reliability, privacy, and security. This training provides a practical and accessible approach to understanding how these technologies work, why they have certain limitations, and what risks come with their use.

We will start by demonstrating GenAI’s impressive capabilities through real-world examples, before analyzing its weaknesses and their technological causes. We will then explore governance aspects, legal and ethical impacts, and potential threats (disinformation, deep fakes, criminal misuse). Throughout the training, we will provide practical guidance on how to use AI securely and responsibly.

Terminology

• What is AI, and what is it not?
• AI, Generative AI,Large Language Models, and Chatbots

Prompting and Limitations

• Introduction to prompting and techniques for better results
• Limitations: bias, reliability/hallucinations, explainability

Technology: How It Works

• The underlying mechanisms of Generative AI
• Understanding its technical limitations

Governance

• History of AI
• Key players of the AI ecosystem
• Supply chain issues, sovereignty and open-source

Implications: Impact and Challenges

• Legal, privacy, environmental and ethical concerns
• Threats: disinformation, deep fakes, criminal misuse

• Cybersecurity with and for AI

By the end of this training, you will be able to:

• Understand how Generative AI works and its limitations
• Identify security, privacy, and ethical implications
• Recognize risks related to criminal misuse and disinformation
• Apply best practices for using AI securely and responsibly

Interactive training with real-world examples, demonstrations, discussions, and practical cases.