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
If you have more than 8 people to sign up for a particular course, it can be delivered as a private session right at your offices. Contact us for more details.
Request a quotePrivate or personalized training
If you have more than 8 people to sign up for a particular course, it can be delivered as a private session right at your offices. Contact us for more details.
Request a quote