Objectives of the training
Identify the main ethical issues associated with AI.Prerequisite
NoneTrainers
Course architecture
Introduction: Why discuss AI ethics?
- The real risks: discrimination, surveillance, loss of trust
- Examples of scandals related to algorithmic bias
Understanding biases in data and algorithms
- Types of bias: data, design, use
- Case studies: recruitment, facial recognition, healthcare, justice
Ethical and regulatory frameworks
- European principles and the future AI Act
- Role of Law 25 and algorithmic transparency
Building responsible AI
- Best practices for businesses
- The role of multidisciplinary teams (technical, HR, legal, managers)
Interactive debate / role-play
Private or personalized training
Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.
Request a quotePrivate or personalized training
Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.
Request a quote